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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 storiesHumanoidUMI: 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…
World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays
arXiv:2606.27374v1 Announce Type: new Abstract: Going beyond predicting robot actions, World Action Models (WAMs) can also generate future visual observations. …
Humanoid-DART: Humanoid Loco-Manipulation using Diffusion-guided Augmentation through Relabeling and Tracking
arXiv:2606.26855v1 Announce Type: new Abstract: Imitating human demonstrations has emerged as a dominant paradigm for learning humanoid loco-manipulation polici…
RelAfford6D: Relational 6D Affordance Graphs for Constraint-Driven Robotic Manipulation
arXiv:2606.27036v1 Announce Type: new Abstract: Bridging abstract semantics and precise physical control remains a fundamental challenge in open-world robotic m…
PlanRL: A Trajectory Planning Architecture for Reinforcement Learning-based Driving Experts
arXiv:2606.26858v1 Announce Type: new Abstract: Reinforcement learning (RL) has become a prominent framework for developing driving experts in autonomous vehicl…
WatchAct: A Benchmark for Behavior-Grounded Robot Manipulation
arXiv:2606.26443v1 Announce Type: new Abstract: A robot working alongside people must reason about what they have done, in what order, and with what intent. Vid…
CogAD: Cognitive-Hierarchy Guided End-to-End Autonomous Driving
arXiv:2505.21581v4 Announce Type: replace Abstract: While end-to-end autonomous driving has advanced significantly, prevailing methods remain fundamentally misa…
ForesightSafety-VLA: A Unified Diagnostic Safety Benchmark for Vision-Language-Action Models
arXiv:2606.27079v1 Announce Type: new Abstract: In embodied intelligence, safety is a prerequisite for reliable robot deployment in the physical world. Current …
Hardware Design for Table Tennis Robot Capable of Beating Professional Players
arXiv:2606.26643v1 Announce Type: new Abstract: This paper focuses on the hardware specifications required for a table tennis robot to beat professional players…
E-TTS: A New Embodied Test-Time Scaling Framework for Robotic Manipulation
arXiv:2606.27268v1 Announce Type: new Abstract: Recently, a few works have made early attempts to study test-time scaling for embodied tasks. However, two major…
Bridging Performance and Generalization in Reinforcement Learning for Agile Flight
arXiv:2606.27348v1 Announce Type: new Abstract: Autonomous drone racing is a fundamentally challenging regime for autonomous aerial robots, requiring time-optim…
OmniRobotHome: A Multi-Camera Home Platform for Real-Time Human-Robot Interaction
arXiv:2604.28197v2 Announce Type: replace Abstract: Robots in homes must continuously sense the people around them, yet most prior work relies on limited or off…
Real-Time Safety Evaluation of Human Arm Operations Using a Wrist-Mounted IMU with PSM System
arXiv:2502.09241v2 Announce Type: replace Abstract: This paper presents a novel approach to real-time safety monitoring in human-robot collaborative manufacturi…
LAMP: Lane-Aligned Motion Primitives for Feasible Trajectory Prediction
arXiv:2606.26661v1 Announce Type: new Abstract: Motion forecasting is essential for autonomous driving systems to enable safe decision-making and planning in co…
Reinforcement Learning Enables Autonomous Microrobot Navigation and Intervention in Simulated Blood Capillaries
arXiv:2606.26154v1 Announce Type: new Abstract: Autonomous microrobots navigating biological vasculature could enable targeted drug delivery and thrombolysis, y…
History-Conditioned Spatio-Temporal Visual Token Pruning for Efficient Vision-Language Navigation
arXiv:2603.06480v2 Announce Type: replace Abstract: Vision-Language Navigation (VLN) enables robots to follow natural-language instructions in visually grounded…