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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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2482 storiesIntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation
arXiv:2605.14712v2 Announce Type: replace Abstract: Robot imitation data are often multimodal: similar visual-language observations may be followed by different…
MotuBrain: An Advanced World Action Model for Robot Control
arXiv:2604.27792v3 Announce Type: replace Abstract: Vision-Language-Action (VLA) models generalize semantically well but often lack fine-grained modeling of wor…
Requirement-Driven Design of Whole-Body Social Tactile Sensing via Virtual Human-Robot Interaction
arXiv:2607.11690v1 Announce Type: new Abstract: Tactile sensing for social-physical human-robot interaction (spHRI) is designed in a hardware-driven manner, whe…
IBPA: Real-time Free-form Manifold Mesh Reconstruction via Incremental Ball Pivoting with Integrated Hole Detection
arXiv:2607.11627v1 Announce Type: cross Abstract: Both Remotely Operated underwater Vehicles (ROVs) and Autonomous Underwater Vehicles (AUVs) are frequently dep…
Soft Eversion Robots for Colonoscopy: Challenges, Open Problems, and Emerging Solutions
arXiv:2607.10294v1 Announce Type: new Abstract: Conventional colonoscopy remains limited by patient discomfort and procedural risks, motivating research into co…
Large Language Model Enhanced Differentiable Trajectory Planning for IoT-Enabled Autonomous Driving
arXiv:2607.10438v1 Announce Type: new Abstract: Autonomous driving planning is a key component of IoT-enabled intelligent transportation systems, requiring vehi…
On the Efficiency of LoRA Fine-Tuning for Vision-Language-Action Models in Industrial Robotic Manipulation
arXiv:2607.10172v1 Announce Type: new Abstract: Deploying billion-parameter Vision-Language-Action (VLA) models on industrial hardware requires fine-tuning to b…
Can we Trust Unreliable Voxels? Exploring 3D Semantic Occupancy Prediction under Label Noise
arXiv:2603.06279v2 Announce Type: replace-cross Abstract: 3D semantic occupancy prediction is a cornerstone of robotic perception, yet real-world voxel annotati…
Think When It Matters: Conditional VLM Reasoning for Social Navigation with RL Policies
arXiv:2607.10991v1 Announce Type: new Abstract: As mobile robots become more integrated into everyday human environments, social robot navigation is becoming es…
Robotic Contextual Awareness for Human-Robot Collaboration and Environmental Understanding
arXiv:2607.10372v1 Announce Type: new Abstract: The transition of autonomous mobile robots from controlled industrial settings to dynamic, human-centric environ…
Self-Healing Visual Recovery for Autonomous Ground Vehicles Using Camera-Only Visual Odometry
arXiv:2607.11686v1 Announce Type: new Abstract: Low-cost unmanned ground vehicles are often used in indoor places like warehouses, inspection corridors, and far…
Safer Trajectory Planning with CBF-guided Diffusion Model for Unmanned Aerial Vehicles
arXiv:2604.17527v3 Announce Type: replace Abstract: Safe and agile trajectory planning is essential for autonomous systems, especially during complex aerobatic …
Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models
arXiv:2607.10655v1 Announce Type: new Abstract: Robotic foundation models have recently made substantial progress in multi-task capability, cross-embodiment tra…
Plug-and-Play Reweighting for Resilient Collaborative Decision-Making in Connected Autonomous Driving
arXiv:2607.10037v1 Announce Type: new Abstract: Collaborative decision-making is a fundamental capability in multi-robot systems, such as connected autonomous v…
Towards Human-level Dexterous Teleoperation
arXiv:2607.11481v1 Announce Type: new Abstract: Humans routinely wield tools, swap grasps, and reposition objects within a single hand, seamlessly orchestrating…
D-SafeMPC: Diffusion-Driven Safe Model Predictive Control with Discrete-Time Control Barrier Functions
arXiv:2607.10842v1 Announce Type: new Abstract: A key limitation on the use of diffusion models in robotic planning is their inability to inherently enforce saf…
A Risk-Field Enhanced Closed-Loop Digital Twin Framework for Autonomous Driving Safety Validation
arXiv:2607.09772v1 Announce Type: new Abstract: Autonomous driving systems require reliable safety validation before real-world deployment. However, large-scale…
VehAnchor: Metadata-Free Metric Scale Recovery from Vehicle Cues in Aerial Imagery
arXiv:2603.04277v2 Announce Type: replace Abstract: Autonomous aerial robots operating in GPS-denied or communication-degraded environments frequently lose acce…
Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction
arXiv:2607.09713v1 Announce Type: cross Abstract: A key step toward autonomous industrial operation is the ability to create and reconfigure control policies fr…
CoRL-MPPI: Enhancing MPPI With Learnable Behaviours For Efficient And Provably-Safe Multi-Robot Collision Avoidance
arXiv:2511.09331v3 Announce Type: replace Abstract: Decentralized collision avoidance is a core challenge for scalable multi-robot systems. A promising approach…
From Non-Rigid to Rigid: Safe Acquisition of Rigid Communication Graphs under Limited Sensing
arXiv:2607.10170v1 Announce Type: new Abstract: Communication graph rigidity is a fundamental requirement in many multi robot formation control approaches. Howe…
Towards Predictive, Aligned, and Scalable Robot Learning
arXiv:2607.11270v1 Announce Type: new Abstract: Learning, at its core, extends beyond memorization to the ability to reason and solve novel problems by navigati…
TAC-LOCO: Unified Whole-Body Control for Quadrupedal TACtile-Informed LOCO-Manipulation
arXiv:2607.10132v1 Announce Type: new Abstract: Dynamic loco-manipulation requires legged robots to coordinate whole-body motion while maintaining stable physic…
Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification
arXiv:2607.10706v1 Announce Type: new Abstract: The action space poses a major challenge in robot learning, since it is often high-dimensional, can span long ti…
Mixture of Frames Policy: Multi-Frame Action Denoising for Bimanual Mobile Manipulation
arXiv:2607.11884v1 Announce Type: new Abstract: Robotic manipulation is inherently multi-frame: local actions may be simple in an end-effector frame, while tran…
EgoSteer: A Full-Stack System Towards Steerable Dexterous Manipulation from Egocentric Videos
arXiv:2607.09701v1 Announce Type: new Abstract: Steerability is a defining capability of generalist robot policies, yet remains largely absent in dexterous-hand…
Learning Roller-Skating Motions of Humanoid Robots Based on Adversarial Motion Priors
arXiv:2607.10815v1 Announce Type: new Abstract: Humanoid roller-skating is difficult because the robot must coordinate whole-body balance, rolling contacts, and…
Whole-Body Semantic-to-Actuation Grounding of Elephant-Inspired Soft-Trunk Motion via Lightweight Flow Matching
arXiv:2607.11018v1 Announce Type: new Abstract: For close-contact human-robot interaction (HRI), trunk-like continuum manipulators provide a physical channel fo…
BucketKD: A Safety-Aware Bucket-Based Knowledge Distillation Framework for End-to-End Motion Planning
arXiv:2607.10565v1 Announce Type: new Abstract: End-to-end motion planning has emerged as a promising paradigm in autonomous driving, directly mapping raw senso…
XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations
arXiv:2511.02776v3 Announce Type: replace Abstract: Recent progress in large-scale robotic datasets and vision-language models (VLMs) has advanced research on v…