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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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Robotics

Dynamics-Induced Commitment in Learning-Based Robotic Penalty Kicks

arXiv:2609.21100v1 Announce Type: new Abstract: Learning in robotic games is constrained not only by strategic information but also by what the body can still e…

Robotics

Learning Scene-Aware Humanoid Locomotion through 3D Clutter from Immersive Human Demonstrations

arXiv:2609.21107v1 Announce Type: new Abstract: While learning from human motions has enabled highly dynamic humanoid skills such as dancing and martial arts in…

Robotics

SAGE: Safety-Aligned Gradient Enforcement for Human--Robot Collaboration

arXiv:2609.21130v1 Announce Type: new Abstract: Multi-party human-robot collaboration poses a dual challenge: robot decisions should remain interpretable and au…

Robotics

SafeStage: Evaluating Safety Before, During, and After Vision-Language-Conditioned Robot Manipulation

arXiv:2609.21223v1 Announce Type: new Abstract: Vision-language-conditioned robot policies integrate perception, language understanding, and control for general…

Robotics

FOCAL-VLA: Subtask-Guided Geometry Distillation and Implicit World Modeling for Vision-Language-Action Models

arXiv:2609.21228v1 Announce Type: new Abstract: Vision-language-action (VLA) models built on pretrained vision-language models have demonstrated strong performa…

Robotics

NaViRrator: Robot Navigation from Human-Readable Maps through a Learned Visual Route

arXiv:2609.21316v1 Announce Type: new Abstract: Human-readable maps provide an intuitive interface for specifying robot destinations, but connecting their schem…

Robotics

FAN: Foresight Action Normalization for Continual Adaptation of Vision-Language-Action Models

arXiv:2609.21358v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models pre-trained on large-scale, closed datasets have demonstrated remarkable suc…

Robotics

ProTracer: Proprioception-Guided Failure Diagnosis in Robot Manipulation

arXiv:2609.21369v1 Announce Type: new Abstract: This paper presents a comprehensive framework for robot manipulation failure analysis that includes binary failu…

Robotics

Stabilizing Trajectory Outputs in End-to-End Autonomous Driving via SC-IMM Based Teacher Signals

arXiv:2609.21404v1 Announce Type: new Abstract: End-to-End autonomous driving models commonly predict future waypoints from sensor inputs and convert them into …

Robotics

FootQuery: Future-Touchdown-Guided Retrieval from Depth History for Perceptive Humanoid Locomotion

arXiv:2609.21447v1 Announce Type: new Abstract: Humanoid locomotion over complex terrain requires anticipating footholds that may no longer be visible at touchd…

Robotics

Skel-WAM: A Hand-Skeleton-Conditioned World Action Model for Human-to-Robot Manipulation Transfer

arXiv:2609.21514v1 Announce Type: new Abstract: Robot demonstrations are expensive to collect and often provide limited distributional coverage of task variatio…

Robotics

A Novel Path-Tracking Algorithm for Automated Tractor-Trailer Forward and Backward Maneuvers

arXiv:2609.21718v1 Announce Type: new Abstract: Fully autonomous tractor--trailer systems are increasingly deployed in logistics, agriculture, and industrial en…

Robotics

Visual Proactivity: Enhancing Human-Robot Collaboration Through Intent Communication

arXiv:2609.21729v1 Announce Type: new Abstract: As robots transition from performing repetitive tasks to collaborating with humans, understanding human intent b…

Robotics

When Should Robots Intervene? Balancing Engagement and Intrusiveness in Human-Robot Interaction

arXiv:2609.21734v1 Announce Type: new Abstract: Designing effective Human-Robot Interaction in task-oriented settings requires carefully balancing user engageme…

Robotics

ForceTwin: Physics-informed Digital Twins for Robotic Manipulation from Instrumented Human Interaction

arXiv:2609.21751v1 Announce Type: new Abstract: Manipulating objects requires understanding not only their motion, but also the physical properties that determi…

Robotics

CRISP: Contact-Rich Robotic Simulation Platform with Extensive Geometries and Contact Solvers

arXiv:2609.21761v1 Announce Type: new Abstract: We present CRISP (Contact-RIch Simulation Platform), a high-fidelity physics engine tailored for complex multi-c…

Robotics

From Pretraining to Proficiency: Real-World Subtask RL for Long-Horizon Manipulation with Minimal Human Intervention

arXiv:2609.21788v1 Announce Type: new Abstract: A pretrained robot foundation policy may execute most of a long-horizon task yet repeatedly fail at a few critic…

Robotics

CARF: Contrastive Attraction-Repulsion of Failure-Guided Flow Matching

arXiv:2609.21982v1 Announce Type: new Abstract: Robot demonstration collection often produces imperfect or failed trajectories in addition to successful demonst…

Robotics

SeeQ: Training Generalist Value Functions for Long-Horizon Robotic Manipulation

arXiv:2609.22085v1 Announce Type: new Abstract: Despite rapid progress, generalist robot policies remain brittle on complex, long-horizon tasks that comprise mu…

Robotics

Signal-Centric Remote Sensing via Alternative Preprocessing and Acoustic Processing for ML-Driven Applications

arXiv:2609.21123v1 Announce Type: cross Abstract: The dominant method of processing sonar data is using image-based representations, requiring the preprocessing…

Robotics

Adaptive World Memory 3D Foundation Model for Scalable 3D Mapping, Localization, and Rendering

arXiv:2609.21502v1 Announce Type: cross Abstract: Recent 3D foundation models enable generalizable geometric reasoning from RGB images but remain limited in per…

Robotics

PRIME: Perception Feedback with Situational Memory Embeddings in VLA Models

arXiv:2609.22040v1 Announce Type: cross Abstract: Current Vision-Language-Action (VLA) models for autonomous driving operate primarily through feedforward infer…

Robotics

Advancing Minimally Invasive Precision Surgery in Large Open Cavities with Robotic Flexible Endoscopy

arXiv:2511.14458v2 Announce Type: replace Abstract: Flexible robots hold great promise for enhancing minimally invasive surgery (MIS) by providing superior dext…

Robotics

ULTRA: Unified Multimodal Control for Autonomous Humanoid Whole-Body Loco-Manipulation

arXiv:2603.03279v2 Announce Type: replace Abstract: Achieving autonomous and versatile whole-body loco-manipulation remains a central barrier to making humanoid…

Robotics

Trajectory Entropy Reinforcement Learning for Robust Robot Motor Skill Learning

arXiv:2505.04193v2 Announce Type: replace-cross Abstract: Simplicity is a critical inductive bias for designing data-driven controllers, especially when robustn…

Robotics

Evolving Skill Modules under a Fixed Planner: Versioning, Rollback, and Runtime Governance for Long-Lived Robot Systems

arXiv:2604.07799v3 Announce Type: replace Abstract: Robots deployed for long periods keep improving their skills, and each update changes a released system. We …

Robotics

CoAd: Constant-Time Planning for Continuous Goal Manipulation with Compressed Library and Online Adaptation

arXiv:2603.12488v2 Announce Type: replace Abstract: In many robotic manipulation tasks, the robot repeatedly solves motion-planning problems that differ mainly …

Robotics

EgoPush: Egocentric Multi-Object Rearrangement for Mobile Robots via Constrained Teacher Observability

arXiv:2602.18071v2 Announce Type: replace Abstract: Humans rearrange objects in cluttered environments using egocentric perception, actively moving to keep task…

Robotics

Benchmarking Autonomous Driving Planners Across Leaderboards: A Unified CARLA-Based Evaluation

arXiv:2509.22754v2 Announce Type: replace Abstract: Autonomous driving remains a highly active research domain that seeks to enable vehicles to perceive dynamic…

Robotics

AnyviewMeter: Adapting Robotic Reward Models with Camera Geometry and Multi-View Attention

arXiv:2609.20106v1 Announce Type: cross Abstract: Robotic reward models evaluate task execution from visual observations, but their predictions can change with …