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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 storiesTerraTransfer: Learning End-to-End Driving Policies Without Expert Demonstrations
arXiv:2606.17386v1 Announce Type: cross Abstract: End-to-end autonomous driving has achieved state-of-the-art performance on benchmarks and real-world deploymen…
WeaveLA: Event Driven Cross-Subtask Latent Memory Weaving for Repetitive Robot Manipulation
arXiv:2606.17463v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) policies have achieved remarkable single-step manipulation, yet they remain britt…
GeneralVLA-2: Geometry-Aware Reconstruction and Governed Memory for Robot Planning
arXiv:2606.17480v1 Announce Type: cross Abstract: Generalist vision-language-action systems need object-centric 3D evidence and reusable manipulation experience…
Learn to Quantify Social Interaction with Constraints for Pedestrian Walking
arXiv:2606.17897v1 Announce Type: cross Abstract: Long-term human path forecasting in crowds is critical for autonomous moving platforms (like autonomous drivin…
Memory as a Wasting Asset: Pricing Flash Endurance for Embodied Agents, and the Limits of Doing So
arXiv:2606.18144v1 Announce Type: cross Abstract: A robot's flash endurance is a non-renewable stock: every persisted write spends one of a few thousand program…
SSIL: Self-Supervised Imitation Learning for End-to-End Driving
arXiv:2308.14329v4 Announce Type: replace Abstract: In autonomous driving, the end-to-end (E2E) driving approach that predicts vehicle control signals directly …
OpenTie: Open-vocabulary Sequential Rebar Tying System
arXiv:2509.00064v2 Announce Type: replace Abstract: Robotic practices on the construction site emerge as an attention-attracting manner owing to their capabilit…
OmniRetarget: Interaction-Preserving Data Generation for Humanoid Whole-Body Loco-Manipulation and Scene Interaction
arXiv:2509.26633v3 Announce Type: replace Abstract: A dominant paradigm for teaching humanoid robots complex skills is to retarget human motions as kinematic re…
Can Vision Foundation Models Navigate? Zero-Shot Real-World Evaluation and Lessons Learned
arXiv:2603.25937v2 Announce Type: replace Abstract: Visual Navigation Models (VNMs) promise generalizable, robot navigation by learning from large-scale visual …
Simulating Infant First-Person Sensorimotor Experience via Motion Retargeting from Babies to Humanoids
arXiv:2604.27583v2 Announce Type: replace-cross Abstract: Motion retargeting from humans to human-like artificial agents is becoming increasingly important as h…
SimTO: A two-stage, simulation-driven topology optimization framework for bespoke soft robotic grippers
arXiv:2601.19098v2 Announce Type: replace Abstract: Soft robotic grippers are essential for grasping delicate, geometrically complex objects in manufacturing, h…
AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving
arXiv:2601.01762v3 Announce Type: replace Abstract: Practical autonomous driving requires models that generalize by reasoning through spatial-temporal possibili…
DexLink Hand: A Compact, Affordable, 16-DOF Linkage-Driven Hand with Human-Like Dexterity
arXiv:2606.17418v1 Announce Type: new Abstract: Dexterous robotic hands face a longstanding trade-off among dexterity, compactness, and affordability. Particula…
When Robots Sleep: Offline Skill Consolidation for Shared-Policy Robot Learning
arXiv:2606.17493v1 Announce Type: new Abstract: Robots that learn over long deployments must add new skills without losing the shared policy structure that make…
ERQA-Plus: A Diagnostic Benchmark for Reasoning in Embodied AI
arXiv:2606.17639v1 Announce Type: new Abstract: Generalist embodied agents require more than object recognition: they must reason about spatial relations, actio…
Accountability in Autonomous Drone-Based Firefighting: Insights From a Field Trial
arXiv:2606.17831v1 Announce Type: new Abstract: There is a growing research field exploring how autonomous drones can enhance emergency response effectiveness. …
From Ad Hoc Pilots to Repeatable Patterns: Structuring Drone Collaboration in Emergency Services with DroneLets
arXiv:2606.17839v1 Announce Type: new Abstract: Drones hold promise for supporting emergency services, but their integration into workflows remains ad hoc and c…
Uncertainty Quantification for Flow-Based Vision-Language-Action Models
arXiv:2606.18043v1 Announce Type: new Abstract: Vision-language-action models (VLAs) combine vision-language backbones with expressive generative action heads t…
Beyond Failure Recovery: An Engagement-Aware Human-in-the-loop Framework for Robotic Systems
arXiv:2606.18189v1 Announce Type: new Abstract: Conventional human-in-the-loop approaches typically involve users only when a robot encounters failure or uncert…
Visual Verification Enables Inference-time Steering and Autonomous Policy Improvement
arXiv:2606.18247v1 Announce Type: new Abstract: Robots deployed in the real world should learn from their experience and improve over time. This requires a mech…
Credibility-Weighted Pricing of Autonomous Vehicle Liability Under Operational Design Domain Shift
arXiv:2606.17451v1 Announce Type: cross Abstract: Automated Driving System deployments create a foundational ratemaking challenge: sparse experience, shifting o…
ConTrack: Constrained Hand Motion Tracking with Adaptive Trade-off Control
arXiv:2606.03177v2 Announce Type: replace Abstract: Human demonstrations provide strong priors for robot manipulation, yet it is non-trivial to transfer them to…
Any2Any: Efficient Cross-Embodiment Transfer for Humanoid Whole-Body Tracking
arXiv:2605.23733v2 Announce Type: replace Abstract: Whole-body tracking (WBT) models have become a key foundation for humanoid robots, enabling them to imitate …
When Life Gives You BC, Make Q-functions: Extracting Q-values from Behavior Cloning for On-Robot Reinforcement Learning
arXiv:2605.05172v2 Announce Type: replace Abstract: Behavior Cloning (BC) has emerged as a highly effective paradigm for robot learning. However, BC lacks a sel…
Physical Imitation Learning: Distilling Control Policies into Passive Elasticity
arXiv:2604.00611v2 Announce Type: replace Abstract: Due to brain-body co-evolution, animals' intrinsic body dynamics play a crucial role in their energy-efficie…
RLRC: Reinforcement Learning-based Recovery for Compressed Vision-Language-Action Models
arXiv:2506.17639v2 Announce Type: replace Abstract: Vision-Language-Action models (VLA) have demonstrated remarkable capabilities and strong potential in comple…
ThinkingVLA: Interleaved Vision and Language Reasoning for Robotic Manipulation
arXiv:2606.17937v1 Announce Type: new Abstract: Most Vision-Language-Action (VLA) models map observations directly to actions without explicit reasoning, limiti…
ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining
arXiv:2606.17200v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models benefit from large-scale and diverse embodied data, yet scaling robot trajec…
Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models
arXiv:2606.17846v1 Announce Type: new Abstract: Foundation models in language and multimodality achieve strong generalization by aligning heterogeneous data und…
GASE: Gaussian Splatting-Based Automated System for Reconstructing Embodied-Simulation Environments
arXiv:2606.17520v1 Announce Type: new Abstract: Training embodied agents in the real world requires skilled operators and expensive hardware. Simulation environ…