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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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2480 storiesLiMoDE: 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…
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…