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		<title>BIGAI:Beijing Institute for General Artificial Intelligence</title>
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		<description><![CDATA[Official Website for BIGAI]]></description>
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			<guid><![CDATA[https://eng.bigai.ai/paper/formalevolve-neuro-symbolic-evolutionary-search-for-diverse-autoformalization/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/formalevolve-neuro-symbolic-evolutionary-search-for-diverse-autoformalization/]]></link>
			<title>FormalEvolve: Neuro-Symbolic Evolutionary Search for Diverse Autoformalization</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 09:43:05 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/full-distribution-self-distillation-for-optimizing-soft-latent-reasoning/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/full-distribution-self-distillation-for-optimizing-soft-latent-reasoning/]]></link>
			<title>Full-Distribution Self-Distillation for Optimizing Soft Latent Reasoning</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 09:41:42 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/adarep-adaptive-re-planning-under-model-mismatch-for-neural-world-model-predictive-control/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/adarep-adaptive-re-planning-under-model-mismatch-for-neural-world-model-predictive-control/]]></link>
			<title>AdaReP: Adaptive Re-Planning under Model Mismatch for Neural World-Model Predictive Control</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 08:38:04 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/beda-belief-estimation-as-probabilistic-constraints-for-performing-strategic-dialogue-acts/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/beda-belief-estimation-as-probabilistic-constraints-for-performing-strategic-dialogue-acts/]]></link>
			<title>BEDA: Belief Estimation as Probabilistic Constraints for Performing Strategic Dialogue Acts</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 08:36:43 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/bridging-cognitive-architecture-and-developmental-measurement-for-artificial-general-intelligence/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/bridging-cognitive-architecture-and-developmental-measurement-for-artificial-general-intelligence/]]></link>
			<title>Bridging Cognitive Architecture and Developmental Measurement for Artificial General Intelligence</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 08:34:27 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/dynamic-whole-body-dancing-with-humanoid-robots-a-model-based-control-approach/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/dynamic-whole-body-dancing-with-humanoid-robots-a-model-based-control-approach/]]></link>
			<title>Dynamic Whole-Body Dancing With Humanoid Robots: A Model-Based Control Approach</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 08:33:01 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/adaptmmbench-benchmarking-adaptive-multimodal-reasoning-for-mode-selection-and-reasoning-process/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/adaptmmbench-benchmarking-adaptive-multimodal-reasoning-for-mode-selection-and-reasoning-process/]]></link>
			<title>AdaptMMBench: Benchmarking Adaptive Multimodal Reasoning for Mode Selection and Reasoning Process</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 08:31:51 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/fully-decoupled-reinforcement-learning-with-adaptive-data-curation-for-gui-agents/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/fully-decoupled-reinforcement-learning-with-adaptive-data-curation-for-gui-agents/]]></link>
			<title>Fully Decoupled Reinforcement Learning with Adaptive Data Curation for GUI Agents</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 08:29:54 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/egoprox-evaluating-mllms-on-egocentric-3d-proximity-reasoning-across-a-cognitive-hierarchy/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/egoprox-evaluating-mllms-on-egocentric-3d-proximity-reasoning-across-a-cognitive-hierarchy/]]></link>
			<title>EgoProx: Evaluating MLLMs on Egocentric 3D Proximity Reasoning Across a Cognitive Hierarchy</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 08:28:35 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/human-intelligence-inspired-testing-for-the-developmental-stages-of-artificial-general-intelligence-from-general-to-applicable/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/human-intelligence-inspired-testing-for-the-developmental-stages-of-artificial-general-intelligence-from-general-to-applicable/]]></link>
			<title>Human Intelligence-Inspired Testing for the Developmental Stages of Artificial General Intelligence: From General to Applicable</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 08:27:28 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/kore-enhancing-knowledge-injection-for-large-multimodal-models-via-knowledge-oriented-augmentations-and-constraints/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/kore-enhancing-knowledge-injection-for-large-multimodal-models-via-knowledge-oriented-augmentations-and-constraints/]]></link>
			<title>KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Augmentations and Constraints</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 08:25:58 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/decomvoxel-harnessing-3d-native-priors-with-guided-in-situ-denoising-optimization-for-decompositional-scene-reconstruction/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/decomvoxel-harnessing-3d-native-priors-with-guided-in-situ-denoising-optimization-for-decompositional-scene-reconstruction/]]></link>
			<title>DecomVoxel: Harnessing 3D-Native Priors with Guided In-situ Denoising Optimization for Decompositional Scene Reconstruction</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 07:43:11 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/trajectory-level-automatic-curriculum-learning-for-legged-locomotion-on-unstructured-terrain/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/trajectory-level-automatic-curriculum-learning-for-legged-locomotion-on-unstructured-terrain/]]></link>
			<title>Trajectory-Level Automatic Curriculum Learning for Legged Locomotion on Unstructured Terrain</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 07:39:33 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/playing-soccer-like-humans-do-learning-versatile-and-agile-humanoid-soccer-via-latent-motion-priors/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/playing-soccer-like-humans-do-learning-versatile-and-agile-humanoid-soccer-via-latent-motion-priors/]]></link>
			<title>Playing Soccer Like Humans Do: Learning Versatile and Agile Humanoid Soccer via Latent Motion Priors</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 07:35:55 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/artmanip-category-level-articulated-in-hand-manipulation/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/artmanip-category-level-articulated-in-hand-manipulation/]]></link>
			<title>ArtManip: Category-Level Articulated In-Hand Manipulation</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 07:33:01 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/towards-human-level-dexterous-teleoperation/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/towards-human-level-dexterous-teleoperation/]]></link>
			<title>Towards Human-level Dexterous Teleoperation</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 07:30:43 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/opendexgrasp-open-vocabulary-task-oriented-dexterous-grasping/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/opendexgrasp-open-vocabulary-task-oriented-dexterous-grasping/]]></link>
			<title>OPENDEXGRASP: Open-vocabulary Task-Oriented Dexterous Grasping</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 07:26:49 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/ultravoice-scaling-fine-grained-style-controlled-speech-conversations-for-spoken-dialogue-models/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/ultravoice-scaling-fine-grained-style-controlled-speech-conversations-for-spoken-dialogue-models/]]></link>
			<title>UltraVoice: Scaling Fine-Grained Style-Controlled Speech Conversations for Spoken Dialogue Models</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 07:21:22 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/make-an-offer-they-cant-refuse-grounding-bayesian-persuasion-in-real-world-dialogues-without-pre-commitment/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/make-an-offer-they-cant-refuse-grounding-bayesian-persuasion-in-real-world-dialogues-without-pre-commitment/]]></link>
			<title>Make an Offer They Can&#8217;t Refuse: Grounding Bayesian Persuasion in Real-World Dialogues without Pre-Commitment</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 07:14:20 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/guide-resolving-domain-bias-in-gui-agents-through-real-time-web-video-retrieval-and-plug-and-play-annotation/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/guide-resolving-domain-bias-in-gui-agents-through-real-time-web-video-retrieval-and-plug-and-play-annotation/]]></link>
			<title>GUIDE: Resolving Domain Bias in GUI Agents through Real-Time Web Video Retrieval and Plug-and-Play Annotation</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 06:44:13 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/hypothesis-graph-refinementhypothesis-driven-exploration-with-cascade-error-correction-for-embodied-navigation/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/hypothesis-graph-refinementhypothesis-driven-exploration-with-cascade-error-correction-for-embodied-navigation/]]></link>
			<title>Hypothesis Graph Refinement:Hypothesis-Driven Exploration with Cascade Error Correction for Embodied Navigation</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 06:43:45 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://eng.bigai.ai/paper/unifusion-sparse-view-4d-reconstruction-via-unified-spatio-temporal-depth-alignment/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/unifusion-sparse-view-4d-reconstruction-via-unified-spatio-temporal-depth-alignment/]]></link>
			<title>UniFusion: Sparse-View 4D Reconstruction via Unified Spatio-temporal Depth Alignment</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 06:40:07 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/learning-contextual-motion-constraints-for-object-rearrangement-exploration/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/learning-contextual-motion-constraints-for-object-rearrangement-exploration/]]></link>
			<title>Learning Contextual Motion Constraints for Object Rearrangement Exploration</title>
			<pubDate><![CDATA[Thu, 22 Oct 2026 06:38:27 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/]]></link>
			<title>Home</title>
			<pubDate><![CDATA[Thu, 15 Jun 2023 03:58:26 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/depthclip3d-a-unified-approachfor3dvisualunderstandingwithdepth/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/depthclip3d-a-unified-approachfor3dvisualunderstandingwithdepth/]]></link>
			<title>DepthCLIP3D: A UNIFIED APPROACHFOR3DVISUALUNDERSTANDINGWITHDEPTH</title>
			<pubDate><![CDATA[Fri, 04 Sep 2026 09:40:17 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/mmuie-massive-multi-domain-universal-information-extraction-for-long-documents/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/mmuie-massive-multi-domain-universal-information-extraction-for-long-documents/]]></link>
			<title>MMUIE: Massive Multi-Domain Universal Information Extraction for Long Documents</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 07:16:55 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/jurisbench-a-deep-benchmark-for-assessing-large-language-models-in-professional-legal-practice/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/jurisbench-a-deep-benchmark-for-assessing-large-language-models-in-professional-legal-practice/]]></link>
			<title>JurisBench: A Deep Benchmark for Assessing Large Language Models in Professional Legal Practice</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 07:12:47 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/simple-role-assignment-is-extraordinarily-effective-for-safety-alignment/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/simple-role-assignment-is-extraordinarily-effective-for-safety-alignment/]]></link>
			<title>Simple Role Assignment is Extraordinarily Effective for Safety Alignment</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 07:09:25 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/an-llm-based-agent-simulation-approach-to-study-moral-evolution/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/an-llm-based-agent-simulation-approach-to-study-moral-evolution/]]></link>
			<title>An LLM-based Agent Simulation Approach to Study Moral Evolution</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 07:04:52 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/action-perturbation-backdoor-attacks-on-partially-observable-multiagent-systems/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/action-perturbation-backdoor-attacks-on-partially-observable-multiagent-systems/]]></link>
			<title>Action-Perturbation Backdoor Attacks on Partially Observable Multiagent Systems</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 06:55:53 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/eco-energy-constrained-optimization-with-reinforcement-learning-for-humanoid-walking/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/eco-energy-constrained-optimization-with-reinforcement-learning-for-humanoid-walking/]]></link>
			<title>ECO: Energy-Constrained Optimization with Reinforcement Learning for Humanoid Walking</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 06:52:45 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/a-low-burden-attention-network-based-on-asynchronous-mechanism-for-bci-motor-intention-recognition/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/a-low-burden-attention-network-based-on-asynchronous-mechanism-for-bci-motor-intention-recognition/]]></link>
			<title>A low-burden attention network based on asynchronous mechanism for BCI motor intention recognition</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 06:46:31 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/omnixtreme-breaking-the-generality-barrier-in-high-dynamic-humanoid-control/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/omnixtreme-breaking-the-generality-barrier-in-high-dynamic-humanoid-control/]]></link>
			<title>OmniXtreme: Breaking the Generality Barrier in High-Dynamic Humanoid Control</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 06:41:48 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/3d-rft-reinforcement-fine-tuning-for-video-based-3d-scene-understanding/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/3d-rft-reinforcement-fine-tuning-for-video-based-3d-scene-understanding/]]></link>
			<title>3D-RFT: Reinforcement Fine-Tuning for Video-based 3D Scene Understanding</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 06:34:20 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/lift-a-novel-framework-for-enhancing-long-context-understanding-of-llms-via-long-input-fine-tuning/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/lift-a-novel-framework-for-enhancing-long-context-understanding-of-llms-via-long-input-fine-tuning/]]></link>
			<title>LIFT: A Novel Framework for Enhancing Long-Context Understanding of LLMs via Long Input Fine-Tuning</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 06:31:22 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/lara-latent-action-representation-alignment-for-vision-language-action-models/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/lara-latent-action-representation-alignment-for-vision-language-action-models/]]></link>
			<title>LARA: Latent Action Representation Alignment for Vision-Language-Action Models</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 06:28:33 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/sphere-mitigating-the-loss-of-spectral-plasticity-in-mixture-of-experts-for-deep-reinforcement-learning/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/sphere-mitigating-the-loss-of-spectral-plasticity-in-mixture-of-experts-for-deep-reinforcement-learning/]]></link>
			<title>SPHERE: Mitigating the Loss of Spectral Plasticity in Mixture-of-Experts for Deep Reinforcement Learning</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 06:25:03 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://eng.bigai.ai/paper/unicode-augmenting-evaluation-for-code-reasoning/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/unicode-augmenting-evaluation-for-code-reasoning/]]></link>
			<title>UniCode: Augmenting Evaluation for Code Reasoning</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 04:22:14 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/active-kinematic-modeling-for-precise-manipulation-of-unseen-articulated-objects/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/active-kinematic-modeling-for-precise-manipulation-of-unseen-articulated-objects/]]></link>
			<title>Active Kinematic Modeling for Precise Manipulation of Unseen Articulated Objects</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 04:19:27 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/integrated-exploration-for-sequential-manipulation-on-scene-graph-with-llm-based-situated-replanning/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/integrated-exploration-for-sequential-manipulation-on-scene-graph-with-llm-based-situated-replanning/]]></link>
			<title>Integrated Exploration for Sequential Manipulation on Scene Graph with LLM-based Situated Replanning</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 04:16:51 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/native-parallel-reasoner-reasoning-in-parallelism-via-self-distilled-reinforcement-learning/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/native-parallel-reasoner-reasoning-in-parallelism-via-self-distilled-reinforcement-learning/]]></link>
			<title>Native Parallel Reasoner: Reasoning in Parallelism via Self-Distilled Reinforcement Learning</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 03:54:14 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/modeling-decision-making-with-will-for-cooperation-in-social-dilemmas/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/modeling-decision-making-with-will-for-cooperation-in-social-dilemmas/]]></link>
			<title>Modeling Decision-Making with Will for Cooperation in Social Dilemmas</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 03:51:21 +0000]]></pubDate>
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			<guid><![CDATA[https://eng.bigai.ai/paper/motionmaster-generalizable-text-driven-motion-generation-and-editing/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/motionmaster-generalizable-text-driven-motion-generation-and-editing/]]></link>
			<title>MotionMaster: Generalizable Text-Driven Motion Generation and Editing</title>
			<pubDate><![CDATA[Thu, 03 Sep 2026 03:47:37 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://eng.bigai.ai/paper/scalable-trajectory-generation-for-whole-body-mobile-manipulation/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/scalable-trajectory-generation-for-whole-body-mobile-manipulation/]]></link>
			<title>Scalable Trajectory Generation for Whole-body Mobile Manipulation</title>
			<pubDate><![CDATA[Mon, 08 Jun 2026 06:45:08 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/simultaneous-tactile-visual-perception-for-learning-multimodal-robot-manipulation/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/simultaneous-tactile-visual-perception-for-learning-multimodal-robot-manipulation/]]></link>
			<title>Simultaneous Tactile-Visual Perception for Learning Multimodal Robot Manipulation</title>
			<pubDate><![CDATA[Mon, 08 Jun 2026 06:41:37 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/cola-learning-human-humanoid-coordination-for-collaborative-object-carrying/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/cola-learning-human-humanoid-coordination-for-collaborative-object-carrying/]]></link>
			<title>COLA: Learning Human-Humanoid Coordination for Collaborative Object Carrying</title>
			<pubDate><![CDATA[Mon, 08 Jun 2026 06:40:18 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/m3bench-benchmarking-whole-body-motion-generation-for-mobile-manipulation-in-3d-scenes-2/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/m3bench-benchmarking-whole-body-motion-generation-for-mobile-manipulation-in-3d-scenes-2/]]></link>
			<title>M3Bench: Benchmarking Whole-Body Motion Generation for Mobile Manipulation in 3D Scenes</title>
			<pubDate><![CDATA[Fri, 05 Jun 2026 10:08:39 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/tactape-real-time-high-accuracy-tactile-fiducial-system-with-structured-3d-texture-for-vision-based-tactile-sensors/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/tactape-real-time-high-accuracy-tactile-fiducial-system-with-structured-3d-texture-for-vision-based-tactile-sensors/]]></link>
			<title>TacTape: Real-Time High-Accuracy Tactile Fiducial System with Structured 3D Texture for Vision-Based Tactile Sensors</title>
			<pubDate><![CDATA[Fri, 05 Jun 2026 10:05:48 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/cassr-continuous-a-star-search-through-reachability-for-real-time-footstep-planning/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/cassr-continuous-a-star-search-through-reachability-for-real-time-footstep-planning/]]></link>
			<title>CASSR: Continuous A-Star Search through Reachability for real time footstep planning</title>
			<pubDate><![CDATA[Fri, 05 Jun 2026 09:59:43 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://eng.bigai.ai/paper/mocap-2-to-3-multi-view-lifting-for-monocular-motion-recovery-with-2d-pretraining/]]></guid>
			<link><![CDATA[https://eng.bigai.ai/paper/mocap-2-to-3-multi-view-lifting-for-monocular-motion-recovery-with-2d-pretraining/]]></link>
			<title>Mocap-2-to-3: Multi-view Lifting for Monocular Motion Recovery with 2D Pretraining</title>
			<pubDate><![CDATA[Fri, 05 Jun 2026 09:44:17 +0000]]></pubDate>
		</item>
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