News
Daily robotics industry news: humanoids, industrial automation, drones, autonomous systems and the companies building them.
Daily robotics industry news: humanoids, industrial automation, drones, autonomous systems and the companies building them.
Latest in News
1860 storiesPressMimic: Pressure-Guided Motion Capture and Control for Humanoid Robot Imitation
arXiv:2606.26741v1 Announce Type: new Abstract: Humanoid motion imitation requires not only accurate perception of human kinematics but also faithful reproducti…
VibeAct: Vibration to Actions for Contact-Rich Reactive Robot Dexterity
arXiv:2606.27344v1 Announce Type: new Abstract: Dexterous manipulation depends on contact events that are fast, local, and often visually occluded. Piezoelectri…
BAT-Nav: Budget-Aware Arbitration and Termination for Long-Horizon Semantic Navigation
arXiv:2605.16932v2 Announce Type: replace Abstract: Long-horizon semantic navigation asks a robot to localize multiple open-vocabulary targets under a finite ac…
NavIsaacLab: Generating Realistic Crowd via Parallel Robot Learning for Benchmarking Human-aware Navigation
arXiv:2606.26265v1 Announce Type: new Abstract: Robot autonomous navigation that accounts for surrounding human activities is crucial for ensuring both safety a…
How Should a Simulation-to-Reality Transfer Budget Be Spent?
arXiv:2606.22062v2 Announce Type: replace Abstract: Simulation-to-reality transfer, often called sim-to-real transfer, is a central challenge in robot learning.…
OmniContact: Chaining Meta-Skills via Contact Flow for Generalizable Humanoid Loco-Manipulation
arXiv:2606.26201v1 Announce Type: new Abstract: Learning long-horizon humanoid loco-manipulation poses a dual challenge: it requires not only the robust executi…
Racing a Wheeled Quadruped: Active Load Transfer Mitigation via Model Predictive Control
arXiv:2606.26313v1 Announce Type: new Abstract: This paper presents a hierarchical control framework using model predictive control (MPC) and reinforcement lear…
TaskNPoint: How to Teach Your Humanoid to Hit a Backhand in Minutes
arXiv:2606.26215v1 Announce Type: new Abstract: How do we learn to hit a tennis backhand? Not from a thousand hours of tennis tournaments on TV - we work with a…
Inference-Time Robot Behavior Steering through Physically-Aware Reconfiguration of Task-Structure
arXiv:2606.26588v1 Announce Type: new Abstract: A central challenge in deploying learned robot policies is inference-time behavior steering: redirecting a polic…
Improving Vision-Language-Action Model Fine-Tuning with Structured Stage and Keyframe Supervision
arXiv:2606.26801v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have shown strong potential for generalizable robotic manipulation. During f…
LiMoDE: Rethinking Lifelong Robot Manipulation from a Mixture-of-Dynamic-Experts Perspective
arXiv:2606.26183v1 Announce Type: new Abstract: Building a generalist robot that can leverage prior knowledge for continuous task adaptation remains a significa…
RoboTales: ROBOTic Anthropomorphic LEarning Systems
arXiv:2606.26213v1 Announce Type: new Abstract: RoboTales is a low-cost robotic storytelling system that animates narratives using expressive sock puppetry. Imp…
LA4VLA: Learning to Act without Seeing via Language-Action Pretraining
arXiv:2606.27295v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models are commonly pretrained on robot demonstrations by jointly mapping visual ob…
Visual-Language-Guided Task Planning for Horticultural Robots
arXiv:2601.11906v2 Announce Type: replace Abstract: Crop monitoring is essential for precision agriculture, but current systems lack high-level reasoning. We in…
Ordinal Neural Collapse as a Representation Prior for Visual Navigation
arXiv:2606.26839v1 Announce Type: new Abstract: Learning robust navigation policies directly from visual observations remains a fundamental challenge in vision-…
HumanoidUMI: Bridging Robot-Free Demonstrations and Humanoid Whole-Body Manipulation
arXiv:2606.27239v1 Announce Type: new Abstract: High-quality demonstration data are essential for humanoid robot skill learning, especially for whole-body behav…
Continual Robot Policy Learning via Variational Neural Dynamics
arXiv:2606.27353v1 Announce Type: new Abstract: Robots deployed in the real world rarely operate under a single fixed dynamics model: wind changes, payloads var…
PAMAE: Phase-Aware-MoE Action Experts Towards Reliable Flow-Matching Vision-Language-Action Policies
arXiv:2606.27144v1 Announce Type: new Abstract: Reliable action generation for multi-stage robotic manipulation remains challenging for Vision-Language-Action (…
Proposal-Conditioned Latent Diffusion for Closed-Loop Traffic Scenario Generation
arXiv:2606.27123v1 Announce Type: new Abstract: Closed-loop traffic simulation remains challenging because it must generate interactive multi-agent behaviors th…
Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy
arXiv:2606.27251v1 Announce Type: new Abstract: Building persistent embodied agents in unstructured environments demands unified orchestration of heterogeneous …
Charting the Growth of Social-Physical HRI (spHRI): A Systematic Review Pipeline Augmented by Small Language Models
arXiv:2606.26382v1 Announce Type: cross Abstract: Social-physical human-robot interaction (spHRI) has grown rapidly across robotics, human-computer interaction,…
A Closed-Form 4-DoF Inter-Robot Pose Estimator using Bearing-only Measurements
arXiv:2606.26616v1 Announce Type: new Abstract: Bearing-odometry-based cooperative localization has attracted increasing research interest due to its minimal in…
OctoSense: Self-Supervised Learning for Multimodal Robot Perception
arXiv:2606.27317v1 Announce Type: cross Abstract: We present OctoSense, an open-source sensor platform with stereo RGB and event cameras, LiDAR, a thermal camer…
SSI-Policy: Learning Structured Scene Interfaces for Vision-Language Robotic Manipulation
arXiv:2606.26800v1 Announce Type: new Abstract: Real-world robotic manipulation demands spatial grounding, task-aware reasoning, and precise control. Learning s…
Rethinking Training & Inference for Forecasting: Linking Winner-Take-All back to GMMs
arXiv:2606.26424v1 Announce Type: cross Abstract: Trajectory forecasting for autonomous driving has advanced rapidly, yet representative models often produce un…
RMTL: Reinforced Micro-task Learning for Long-Horizon Manipulation with VLM Rewards
arXiv:2606.26175v1 Announce Type: new Abstract: Reinforcement learning (RL) for robotic manipulation often requires manually designing a dense reward function, …
RouterVLA: Turning Smoke Tests into Supervision for Heterogeneous VLA Selection
arXiv:2606.27355v1 Announce Type: new Abstract: We study whether pre-deployment evaluation rollouts can be reused to supervise policy selection. Robot teams rou…
Bridging Handheld and Teleoperated Supervision for Contact-Rich Manipulation via State-Gated Experts
arXiv:2606.26603v1 Announce Type: new Abstract: Handheld data collection systems, such as the Universal Manipulation Interface (UMI), enable scalable data colle…
RobOralScan: Learning Active Intraoral Scanning for Robotic Dental Reconstruction
arXiv:2606.26955v1 Announce Type: new Abstract: Intraoral scanning is widely used for digital optical impressions in prosthodontic, implant, and orthodontic tre…
PhysReflect-VLA: Physical Feasibility and Self-Reflective Regulation for Reliable Vision-Language-Action Policies
arXiv:2606.27146v1 Announce Type: new Abstract: Long-horizon robotic manipulation is highly sensitive to physically infeasible transitions, contact-induced dist…