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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.
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3285 storiesAdversarial Attacks on Learned Policies for Surgical Robotic Tasks
arXiv:2606.11535v1 Announce Type: new Abstract: Learning-based policies are being considered to augment the dexterity of human surgeons in robot-assisted surger…
ConsistencyPlanner: Real-time Planning with Fast-Sampling Consistency Models
arXiv:2606.11569v1 Announce Type: new Abstract: Closed-loop planning in complex, real-world driving scenarios presents a critical challenge for autonomous drivi…
Distortion-Resilient Robotic Imitation Learning for Autonomous Cable Routing
arXiv:2606.11577v1 Announce Type: new Abstract: The rapid development of intelligent control methodologies has endowed robots with powerful autonomous intellige…
LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition
arXiv:2606.11628v1 Announce Type: new Abstract: The most widely-adopted robot learning pipelines today learn skills from robot demonstrations or structured huma…
Point Cloud Segmentation for Autonomous Clip Positioning in Laparoscopic Cholecystectomy on a Phantom
arXiv:2606.12048v1 Announce Type: new Abstract: High-risk applications in robotics, such as robot-assisted surgery, present unique challenges. These systems mus…
Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics
arXiv:2606.12365v1 Announce Type: new Abstract: We propose Ambient Diffusion Policy, a simple and principled method for imitation learning from suboptimal data …
UniIntervene: Agentic Intervention for Efficient Real-World Reinforcement Learning
arXiv:2606.12372v1 Announce Type: new Abstract: Human-in-the-loop reinforcement learning (HiL-RL) has emerged as an effective paradigm for real-world robotic ma…
Semantically-Aware Diver Activity Recognition Framework for Effective Underwater Multi-Human-Robot Collaboration
arXiv:2606.12374v1 Announce Type: new Abstract: Effective multi-human-robot collaboration is essential for expanding human-led operations in the challenging and…
VLGA: Vision-Language-Geometry-Action Models for Autonomous Driving
arXiv:2606.12396v1 Announce Type: cross Abstract: Vision-language-action (VLA) models can describe scenes and reason about them in language, yet still struggle …
Fourier Features Let Agents Learn High Precision Policies with Imitation Learning
arXiv:2606.12334v1 Announce Type: cross Abstract: High-precision robotic manipulation requires fine-grained spatial reasoning that is often difficult to achieve…
LEMON-Mapping: Loop-Enhanced Large-Scale Multi-Session Point Cloud Merging and Optimization for Globally Consistent Mapping
arXiv:2505.10018v4 Announce Type: replace Abstract: Multi-robot collaboration is becoming increasingly critical and presents significant challenges in modern ro…
CU-Multi: A Dataset for Multi-Robot Collaborative Perception
arXiv:2509.19463v2 Announce Type: replace Abstract: A central challenge for multi-robot systems is fusing independently gathered perception data into a unified …
Learning Ordinal Response Policies in Rank-Based Stochastic Prize-Collecting Games
arXiv:2510.24515v2 Announce Type: replace Abstract: The Team Orienteering Problem (TOP) generalizes many real-world multi-agent scheduling and routing tasks tha…
SIL: Symbiotic Interactive Learning for Language-Conditioned Human-Agent Co-Adaptation
arXiv:2511.05203v3 Announce Type: replace Abstract: Today's autonomous agents, largely driven by foundation models (FMs), can understand natural language instru…
DynaRetarget: Dynamically-Feasible Retargeting using Sampling-Based Trajectory Optimization
arXiv:2602.06827v3 Announce Type: replace Abstract: In this paper, we introduce DynaRetarget, a complete pipeline for retargeting human motions to humanoid cont…
Consensus-based optimization (CBO): Towards Global Optimality in Robotics
arXiv:2602.06868v2 Announce Type: replace Abstract: Zero-order optimization has recently received significant attention for designing optimal trajectories and p…
SafeManip: A Property-Driven Benchmark for Temporal Safety Evaluation in Robotic Manipulation
arXiv:2605.12386v2 Announce Type: replace Abstract: Robotic manipulation is typically evaluated by task success, but successful completion does not guarantee sa…
GEAR-VLA: Learning Geometry-Aware Action Representations for Generalizable Robotic Manipulation
arXiv:2606.08530v2 Announce Type: replace Abstract: Vision-Language-Action (VLA) models achieve strong benchmark performance but still struggle in real-world de…
TORL-VLA: Tactile Guided Online Reinforcement Learning for Contact-Rich Manipulation
arXiv:2606.09337v2 Announce Type: replace Abstract: Vision-Language-Action (VLA) models have become a powerful framework for robotic manipulation, and recent st…
Vision-Language-Action Jump-Starting for Reinforcement Learning Robotic Agents
arXiv:2604.13733v2 Announce Type: replace-cross Abstract: Reinforcement learning (RL) enables high-frequency, closed-loop control for robotic manipulation, but …
ActionMap: Robot Policy Learning via Voxel Action Heatmap
arXiv:2606.06904v2 Announce Type: replace Abstract: Vision-language-action (VLA) models have advanced rapidly across backbones, training recipes, and data scale…
Closing the Motion Execution Gap: From Semantic Motion Task Constraints to Kinematic Control
arXiv:2605.12053v2 Announce Type: replace Abstract: This paper addresses the Motion Execution Gap, the disconnect between high-level symbolic task descriptions …
Phase-Based Multi-Gait Learning for a Salamander-Like Robot
arXiv:2511.08299v2 Announce Type: replace Abstract: Salamander-like robots are designed inspired by the skeletal structure of their biological counterparts. How…
The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning
arXiv:2505.03296v2 Announce Type: replace Abstract: We present Mixture of Discrete-time Gaussian Processes (MiDiGap), a novel approach for flexible policy repre…
Fast-SDE: Efficient Single-Microphone Sound Source Distance Estimation in Reverberant Environments
arXiv:2606.12339v1 Announce Type: cross Abstract: Sound source distance estimation (SDE) is a critical capability in human-robot interaction. An inappropriate i…
Making Foresight Actionable: Repurposing Representation Alignment in World Action Models
arXiv:2606.12217v1 Announce Type: cross Abstract: World Action Models (WAMs) offer a promising route for robot manipulation by using video generation models to …
DroneShield-AI: A Multi-Modal Sensor Fusion Framework for Real-Time Autonomous Drone Threat Detection, Behavioral Intent Classification, and Swarm Intelligence in Contested Airspace
arXiv:2606.11687v1 Announce Type: cross Abstract: Unmanned Aerial Vehicle (UAV) threats have emerged as a defining security challenge of the 21st century. This …
FACTR 2: Learning External Force Sensing for Commodity Robot Arms Improves Policy Learning
arXiv:2606.12406v1 Announce Type: new Abstract: Contact-rich manipulation requires force sensitivity, but many robot arms lack dedicated force sensors due to th…
OGPO: Sample Efficient Full-Finetuning of Generative Control Policies
arXiv:2605.03065v2 Announce Type: replace-cross Abstract: Generative control policies (GCPs), such as diffusion- and flow-based control policies, have emerged a…
Bimanual Robot Manipulation via Multi-Agent In-Context Learning
arXiv:2604.20348v2 Announce Type: replace Abstract: Language Models (LLMs) have emerged as powerful reasoning engines for embodied control. In particular, In-Co…