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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

Direct Action-Head Injection of A Grounded 3D Point Unlocks Spatial and Task Generalization

arXiv:2606.27663v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models leverage large-scale vision-language pretraining for flexible robot manipula…

Robotics

Web2Grasp: Learning Functional Grasps from Web Images of Hand-Object Interactions

arXiv:2505.05517v3 Announce Type: replace-cross Abstract: Functional grasping is essential for enabling dexterous multi-finger robot hands to manipulate objects…

Robotics

Swarm sign language: motion-based communication between drones

arXiv:2606.27883v1 Announce Type: new Abstract: In stealth-constrained swarm robotics, visual communication provides a critical alternative to active radio tran…

Robotics

SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation

arXiv:2606.28276v1 Announce Type: new Abstract: Training and evaluating robot policies in the real world is costly and difficult to scale. We introduce SimFound…

AGIBOT produces 15,000th robot, marking a milestone in embodied AI deployment
Robotics

AGIBOT produces 15,000th robot, marking a milestone in embodied AI deployment

AGIBOT has rolled out 15,000 wheeled semi-humanoid robots as it moves from embodied AI from development and production to deployment. The post AGIBOT produces 1…

How compact cobot integration enhances autonomous mobile robot applications
Robotics

How compact cobot integration enhances autonomous mobile robot applications

Cobots are quickly shaping the future of warehousing, with their use rising 10-fold from 2018 to 2025, Kassow said. The post How compact cobot integration enhan…

We know how to build smarter robots. Now, we need to learn smarter ways to test them
Robotics

We know how to build smarter robots. Now, we need to learn smarter ways to test them

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that scales alongside autonomy. The post We …

General Intuition raises $320M to use video game data to train robots
Robotics

General Intuition raises $320M to use video game data to train robots

General Intuition is using video game clips with embedded action labels to speed up AI training for robotics. The post General Intuition raises $320M to use vid…

Orbbec shows AI-powered vision systems at Automate 2026
Robotics

Orbbec shows AI-powered vision systems at Automate 2026

Orbbec presented industrial-grade 3D cameras for challenging automation scenarios, as well as AI integration for enhanced robotic perception. The post Orbbec sh…

Robot Talk Episode 162 – The robot doctor will see you now
Robotics

Robot Talk Episode 162 – The robot doctor will see you now

Since the first robot-assisted surgery was performed, over 40 years ago, major advances in robotics, computer vision and artificial intelligence have fundamenta…

Robotics

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics

arXiv:2507.04949v3 Announce Type: replace Abstract: Many robotic tasks, such as inverse kinematics, motion planning, and contact-rich manipulation, can be formu…

Robotics

A System for Fast, Resilient, and Adaptable Loco-Manipulation Behaviors on Humanoid Robots

arXiv:2606.26425v1 Announce Type: new Abstract: Humanoid robots could take on physically demanding, hazardous, and repetitive work in spaces built for humans. H…

Robotics

FC-Vision: Real-Time Visibility-Aware Replanning for Occlusion-Free Aerial Target Structure Scanning in Unknown Environments

arXiv:2602.13720v2 Announce Type: replace Abstract: Autonomous aerial scanning of target structures is crucial for practical applications, requiring online adap…

Robotics

CycleRL: Sim-to-Real Deep Reinforcement Learning for Robust Autonomous Bicycle Control

arXiv:2603.15013v3 Announce Type: replace Abstract: Autonomous bicycles offer a promising agile solution for urban mobility and last-mile logistics. However, co…

Robotics

Tactile-WAM: Touch-Aware World Action Model with Tactile Asymmetric Attention

arXiv:2606.26663v1 Announce Type: new Abstract: World Action Models (WAMs) generate actions together with predicted futures, offering a powerful interface for r…

Robotics

PressMimic: Pressure-Guided Motion Capture and Control for Humanoid Robot Imitation

arXiv:2606.26741v1 Announce Type: new Abstract: Humanoid motion imitation requires not only accurate perception of human kinematics but also faithful reproducti…

Robotics

VibeAct: Vibration to Actions for Contact-Rich Reactive Robot Dexterity

arXiv:2606.27344v1 Announce Type: new Abstract: Dexterous manipulation depends on contact events that are fast, local, and often visually occluded. Piezoelectri…

Robotics

BAT-Nav: Budget-Aware Arbitration and Termination for Long-Horizon Semantic Navigation

arXiv:2605.16932v2 Announce Type: replace Abstract: Long-horizon semantic navigation asks a robot to localize multiple open-vocabulary targets under a finite ac…

Robotics

NavIsaacLab: Generating Realistic Crowd via Parallel Robot Learning for Benchmarking Human-aware Navigation

arXiv:2606.26265v1 Announce Type: new Abstract: Robot autonomous navigation that accounts for surrounding human activities is crucial for ensuring both safety a…

Robotics

How Should a Simulation-to-Reality Transfer Budget Be Spent?

arXiv:2606.22062v2 Announce Type: replace Abstract: Simulation-to-reality transfer, often called sim-to-real transfer, is a central challenge in robot learning.…

Robotics

OmniContact: Chaining Meta-Skills via Contact Flow for Generalizable Humanoid Loco-Manipulation

arXiv:2606.26201v1 Announce Type: new Abstract: Learning long-horizon humanoid loco-manipulation poses a dual challenge: it requires not only the robust executi…

Robotics

Racing a Wheeled Quadruped: Active Load Transfer Mitigation via Model Predictive Control

arXiv:2606.26313v1 Announce Type: new Abstract: This paper presents a hierarchical control framework using model predictive control (MPC) and reinforcement lear…

Robotics

TaskNPoint: How to Teach Your Humanoid to Hit a Backhand in Minutes

arXiv:2606.26215v1 Announce Type: new Abstract: How do we learn to hit a tennis backhand? Not from a thousand hours of tennis tournaments on TV - we work with a…

Robotics

Inference-Time Robot Behavior Steering through Physically-Aware Reconfiguration of Task-Structure

arXiv:2606.26588v1 Announce Type: new Abstract: A central challenge in deploying learned robot policies is inference-time behavior steering: redirecting a polic…

Robotics

Improving Vision-Language-Action Model Fine-Tuning with Structured Stage and Keyframe Supervision

arXiv:2606.26801v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have shown strong potential for generalizable robotic manipulation. During f…

Robotics

LiMoDE: 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…

Robotics

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…

Robotics

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…

Robotics

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…

Robotics

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-…