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robotics

1,589 papers

#computer vision Preprint Sep 2026

MaskVLA: Visual Masking Against Trajectory Overfitting of Vision-Language-Action Model

MaskVLA, a masking-based fine-tuning strategy that randomly masking a small portion of the main camera's visual information leads to the emergence of robust policies, thereby enhancing the model's capability to tackle complex manipulation tasks and improving its generalization performance.

Yuxuan Jiang, Jia-Ying Huang, Ge Wang et al. · 0 citations
#robotics Preprint Sep 2026

RoboTalk: Learning Multi-Robot Communication and Coordination from Multimodal Demonstrations

RoboTalk is introduced, a synthetic data-generation pipeline and dataset of 7,950 multimodal trajectories spanning 53 mobile-manipulation kitchen tasks for training small VLMs to communicate and coordinate and fine-tuning open-source models on this dataset can reach 77% success on novel held-out tasks.

Dorian Benhamou Goldfajn, Mason Nakamura, Saaduddin Mahmud et al. · 0 citations
#robotics Preprint Feb 2026

Robot Programming with Augmented Reality: The Role of Spatial Ability

Overall, AR did not significantly improve cognitive load or usability compared with conventional instruction, but exploratory analyses revealed a compensatory effect: spatial ability predicted higher usability and lower extraneous cognitive load in the control group, but not in the AR condition, suggesting AR mitigated...

Nicolas Leins, Muriel Fischer, Malte Teichmann et al. · 1 citation
#robotics Oct 2025

ERUPT: An Open Toolkit for Interfacing with Robot Motion Planners in Extended Reality

The Extended Reality Universal Planning Toolkit (ERUPT), an extended reality (XR) system for interactive motion planning, is presented to introduce the open-source system to others who can use it as a base to develop immersive robot interaction applications.

Isaac Ngui, C. McBeth, A. Santos et al. · 0 citations
#robotics Preprint Open access Sep 2026

Ask Before It Tells: Benchmark-to-Robot Body-Cue Transfer for a Question-First Bedside Robot

Body-cue recognition can support assistive robots, but benchmark accuracy does not guarantee reliable behavior under a robot-camera viewpoint. We present Nuni, a bedside robot prototype that treats a detected distress cue as a reason to ask rather than a reason to alert. We compare two X3D-UGT RGB appearance classifier...

Dongsik Yoon · 0 citations
#robotics Preprint Sep 2026

Toward Human-in-the-Loop Robot Failure Recovery: Bridging Communication Gaps in Human-Robot Collaboration

Listener Differences in Human-Robot Interaction (LD-HRI), a game, dataset, and benchmark that evaluates speakers through human listener performance, is introduced, providing a foundation for designing more robust communication in human-robot and human-agent interaction.

Promise Ekpo, T. Vijay, Dhruv Mandalik et al. · 0 citations
#robotics Preprint Sep 2026

Identity Continuity in Long-Term Embodied AI Relationships: From Agent-Specific Identity Representation to Identity-Continuity Appraisal

This article proposes a user-side framework in which long-term embodied AI is represented through an agent-specific identity representation organized by at least three open identity-content domains: embodied-perceptual, psychological-behavioral, and relational-autobiographical.

Zi-Jian Ru · 0 citations
#computer vision Preprint Open access Sep 2026

3D-MoE: Towards Spatial Intelligence with Mixture-of-Experts for 3D Reasoning and Action Generation

Spatial intelligence, encompassing 3D perception and reasoning, is the essential next frontier of AI. Scaling current 3D vision-language models (VLMs) that rely on dense Transformers for spatial tasks incurs prohibitive computational costs. In this paper, we introduce 3D-MoE, a 3D VLM leveraging an efficient mixture-of...

Yueen Ma, Zenglin Xu, Irwin King · 0 citations
#artificial intelligence Preprint Aug 2026

GraRe: Grasp Candidate Re-Ranking for Frozen 6-DoF Grasp Detectors

GraRe is proposed, which estimates grasp quality from candidate attributes, shell-stratified local geometry, and object context, and which shows that improving candidate ranking provides a practical way to enhance frozen 6-DoF grasp detectors.

Ji-Bao Yuan, Yuhui Zhao, Yinzhen Lv et al. · 0 citations
#artificial intelligence Preprint Open access Sep 2026

Learning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd offline)

I describe my solution to the LeHome Challenge 2026, an ICRA 2026 competition on bimanual garment folding. The system placed 1st of 62 teams in the online (simulation) round and 2nd in the real-world final. It improves a vision-language-action (VLA) policy with a reinforcement-learning loop. The policy is its own value...

Ilia Larchenko · 0 citations

InSight: Self-Guided Skill Acquisition via Steerable VLAs

InSight is a framework for self-guided skill acquisition that uses a VLM to identify primitives missing from a VLA's repertoire, grounds the VLM's proposals through robot execution, and distills new primitives from successful rollouts into the VLA.

M. Wang, Lars W. Osterberg, Stephen Tian et al. · 3 citations · ⚡1

From tech blogs

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MIT News · Artificial Intelligence Nov 5, 2026

Clearing up a robot’s fuzzy memory

A new system identifies and corrects unreliable object descriptions stored in a robot’s memory, improving the robot’s ability to interact with its environment.

Google DeepMind Blog Oct 13, 2026

Gemini 4 Argon for Robotics

Discover Gemini 4 Argon for robotics: leading the ERQA benchmark with physical reasoning, zero-shot control, Real2Sim, and agentic workflows.

Microsoft Research Blog Sep 23, 2026

Offloaded inference for real-world physical AI robotics

Robots are getting smarter, but how can their hardware match that growth? New Microsoft Research findings show that moving AI inference beyond the robot can improve task success, boost efficiency, and support more advanced physical AI workloads. The post Offloaded inference for real-world physical AI robotics appeared first on Microsoft Research.

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