Industry Monitor Humanoid Industrial & Cobot AGV / AMR Quadruped Reducers · Servos · Sensors Drones & Autonomy Embodied AI
Robos News

News

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.

Latest in News

2456 stories
Robotics

Unified Embodied VLM Reasoning with Robotic Action via Autoregressive Discretized Pre-training

arXiv:2512.24125v3 Announce Type: replace Abstract: General-purpose robotic systems operating in open-world environments must achieve both broad generalization …

Robotics

MAGS-SLAM: Monocular Multi-Agent Gaussian Splatting SLAM for Geometrically and Photometrically Consistent Reconstruction

arXiv:2605.10760v2 Announce Type: replace Abstract: Collaborative photorealistic 3D reconstruction from multiple agents enables rapid large-scale scene capture …

Robotics

Memory for Attention: Language-Conditioned Re-Perception with a Vision--Language--Motion Map

arXiv:2607.23797v1 Announce Type: new Abstract: A robot carrying a persistent, behavior-annotated map faces two planning questions, and its memory answers only …

Robotics

Cost-Aware Recovery-Pathway Identification and Bayesian Optimization for Autonomous Materials Discovery

arXiv:2607.23896v1 Announce Type: cross Abstract: Autonomous laboratories automate experimental execution, but a campaign must also decide which recovery pathwa…

Robotics

Physical AI Governance: From Theory to Practice Across Life Cycle

arXiv:2607.22877v1 Announce Type: cross Abstract: With the emergence of Physical AI, artificial intelligence is extending beyond screen-based applications to em…

Robotics

SHARE: Towards Head-Mounted AR with User-Centric SLAM in Shared Human-Robot Workspaces

arXiv:2607.23901v1 Announce Type: cross Abstract: Human-Robot Collaboration (HRC) in shared physical spaces using Augmented Reality (AR) interfaces is powered b…

Robotics

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization

arXiv:2607.23702v1 Announce Type: new Abstract: Manipulating objects with hidden internal state, such as a latched microwave, forces a robot to probe before it …

Robotics

Co-planning of Flight Corridors and Communication Infrastructure for Urban Drone Logistics Networks

arXiv:2607.23989v1 Announce Type: new Abstract: Reliable wireless connectivity is essential for urban air mobility (UAM) networks in dense urban environments. I…

Robotics

Learning-based Hierarchical Tracheal Anatomy Understanding from Sparse Surgical Demonstration Annotations for Ultrasound Robots

arXiv:2607.22789v1 Announce Type: cross Abstract: Tracheostomy requires precise localization of the tracheal incision site; however, conventional manual palpati…

Robotics

CReF: Cross-modal and Recurrent Fusion for Depth-conditioned Humanoid Locomotion

arXiv:2603.29452v3 Announce Type: replace Abstract: Stable traversal over geometrically complex terrain increasingly requires exteroceptive perception, yet prio…

Robotics

Stress-testing large language model agents in a robotic chemistry laboratory

arXiv:2607.23045v1 Announce Type: cross Abstract: AI is evaluated through knowledge, reasoning and plan generation, yet scientific agency requires reliable phys…

Robotics

AutoWorld: Learning Multi-Agent Traffic Simulation with Self-Supervised World Models

arXiv:2603.28963v2 Announce Type: replace Abstract: Simulation with realistic traffic agents is essential for validating autonomous driving systems. Existing da…

Robotics

DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport

arXiv:2603.08111v2 Announce Type: replace Abstract: Generalizing decentralized multi-robot cooperative transport across objects with diverse shapes and physical…

Robotics

HELIOS: An LLM-Driven Autonomous Indirect Trajectory Optimization Agent

arXiv:2607.24051v1 Announce Type: cross Abstract: Low-thrust trajectory optimization is a core technology in deep-space mission design. Indirect methods based o…

Robotics

A Few Words Go a Long Way: Language Guided Robot Policy Synthesis

arXiv:2607.23784v1 Announce Type: new Abstract: While vision-language-action models have demonstrated impressive zero-shot manipulation capabilities, they remai…

Robotics

Moving-Horizon Estimation and Nonlinear Model Predictive Control of Cable-Driven Soft Manipulators

arXiv:2607.24029v1 Announce Type: new Abstract: Precise control of soft manipulators remains challenging due to the difficulty of developing accurate yet comput…

Robotics

BC-NMPC: Battery-Constrained NMPC with Propulsion Prediction and Replanning for High-Speed Flight

arXiv:2607.23867v1 Announce Type: new Abstract: Trajectory tracking performance of Uncrewed Aerial Vehicles (UAVs) degrades during high-speed and agile flight d…

Robotics

WCM: World-Cognition Model for Generalizable Human-Robot Interaction

arXiv:2607.22999v1 Announce Type: new Abstract: Language agents can now interact fluently with users in software, but robots still struggle to bring comparable …

Robotics

PAC-DP: PAC-Bayesian Diffusion Policy Learning

arXiv:2607.24296v1 Announce Type: new Abstract: Diffusion Policies (DPs) are able to perform complex manipulation tasks. However, DPs are typically trained by m…

Robotics

Mission-Level Runtime Assurance for LLM-Assisted ISR Swarms over a Verification-Aware Fabric

arXiv:2607.23532v1 Announce Type: cross Abstract: Swarms of LLM-assisted autonomous robots are increasingly proposed for cooperative intelligence, surveillance,…

Robotics

Unifying Complementarity Constraints and Control Barrier Functions for Safe Whole-Body Robot Control

arXiv:2504.17647v2 Announce Type: replace Abstract: Safety-critical whole-body robot control demands reactive methods that ensure collision avoidance in real-ti…

Robotics

Learning Reusable Hybrid Motion Priors for Humanoid Locomotion from Motion Imitation

arXiv:2607.24083v1 Announce Type: cross Abstract: Reinforcement learning can produce robust humanoid controllers, but each new task is typically trained as a se…

Robotics

PRISM: Polynomial Representations for Interaction-Structured Motor Control

arXiv:2607.23473v1 Announce Type: new Abstract: Robot policies are typically MLPs mapping observations to actions. Yet robot observations are physical variables…

Robotics

FutureRTC: Real-Time Robot Execution with Anticipatory-Conditioned Action Chunking

arXiv:2607.24008v1 Announce Type: new Abstract: Real-time deployment of Vision-Language-Action (VLA) policies necessitates asynchronous execution, wherein subse…

Kraken Technology raises Series B funding for autonomous vessels
Robotics

Kraken Technology raises Series B funding for autonomous vessels

Kraken Technology plans to use its funding to continue developing uncrewed surface vessels and localizing manufacturing around the world. The post Kraken Techno…

NORD expands compact NORDAC VFD family to 200 hp
Robotics

NORD expands compact NORDAC VFD family to 200 hp

NORD Drivesystems said its NORDAC PRO VFDs are adaptable to individual application requirements across industries. The post NORD expands compact NORDAC VFD fami…

Robotics

DB-VIO: Dual-Branch Visual Inertial Odometry with Enhanced Visual-Inertial Representation

arXiv:2607.22123v1 Announce Type: new Abstract: Visual inertial odometry (VIO) is essential for accurate 6-DoF motion estimation in mobile robotic systems. Rece…

Robotics

Ordered Action Tokens for Visuomotor Policy Learning

arXiv:2607.21670v1 Announce Type: new Abstract: Action tokenization maps continuous robot action chunks to discrete tokens and has become an important interface…

Robotics

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey

arXiv:2607.21655v1 Announce Type: new Abstract: Robotic learning takes place in dynamic environments with large behavior spaces. A terminal success signal only …

Robotics

Robot-Factored World Models via Robot Rendering

arXiv:2607.22535v1 Announce Type: new Abstract: Action-conditioned video world models predict future observations from an initial observation and an action sign…