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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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#RoboCup2026 – humanoid league day 2
The second day’s play at RoboCup 2026 has drawn to a close with another bumper set of matches. Teams have come from far and wide to take part in the humanoid so…
Quarterhill discusses transport modernization as U.S. marks 70 years of federal highways
At the U.S. celebrates 250 years of independence and 70 years of its highway system, an expert looks at the future of autonomous transport. The post Quarterhill…
Choreographing the Way of Water: A Computational Framework for Aquatic Robotic Art
arXiv:2607.02174v1 Announce Type: new Abstract: Robotic choreography in open water is governed by nonlinear fluid dynamics, which impose significant challenges …
Learning to Localize Reference Trajectories in Image-Space for Visual Navigation
arXiv:2602.18803v2 Announce Type: replace Abstract: We present LoTIS, a model for visual navigation that provides robot-agnostic image-space guidance by localiz…
Embodied.cpp: A Portable Inference Runtime of Embodied AI Models on Heterogeneous Robots
arXiv:2607.02501v1 Announce Type: new Abstract: Embodied AI models now span vision-language-action (VLA) models and world-action models (WAMs), but practical de…
Cross-Platform Control for Autonomous Surface Vehicles via Adaptive Reinforcement Learning
arXiv:2607.02037v1 Announce Type: new Abstract: Autonomous surface vehicles vary widely in hydrodynamic and actuation characteristics, yet most controllers are …
A Convex Obstacle Avoidance Formulation
arXiv:2512.13836v2 Announce Type: replace-cross Abstract: Autonomous driving requires reliable collision avoidance in dynamic environments. Nonlinear Model Pred…
PhysMani: Physics-principled 3D World Model for Dynamic Object Manipulation
arXiv:2607.01938v1 Announce Type: new Abstract: Manipulating fast and dynamically moving targets in unstructured 3D environments remains challenging for embodie…
Robust Image Processing Techniques for Construction Environment Monitoring Using Underwater Robots
arXiv:2607.01915v1 Announce Type: cross Abstract: This paper proposes a robust image processing framework for underwater robot-based construction environment mo…
Restoring Linguistic Grounding in VLA Models via Train-Free Attention Recalibration
arXiv:2603.06001v2 Announce Type: replace Abstract: Vision-Language-Action (VLA) models enable robots to perform manipulation tasks directly from natural langua…
CommonRoad-Game: A Human-in-the-Loop Simulation Framework for Autonomous Driving
arXiv:2607.01382v1 Announce Type: new Abstract: Motion planning algorithms should be evaluated in human-in-the-loop environments to ensure they produce safe and…
NEUROSYMLAND: Neuro-Symbolic Landing-Site Assessment for Robust and Edge-Deployable UAV Autonomy
arXiv:2607.02277v1 Announce Type: new Abstract: Safe landing-site assessment in unstructured environments remains a key challenge for autonomous UAV deployment,…
VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layer
arXiv:2512.11891v2 Announce Type: replace Abstract: Vision-Language-Action (VLA) models have demonstrated remarkable capabilities in generalizing across diverse…
Imagining the Sense of Touch: Touch-Informed Manipulation via Imagined Tactile Representations
arXiv:2607.01684v1 Announce Type: new Abstract: Tactile sensing can substantially improve contact-rich robotic manipulation, yet its practical deployment remain…
Sim2Real-AD: A Modular Sim-to-Real Framework for Deploying VLM-Guided Reinforcement Learning in Real-World Autonomous Driving
arXiv:2604.03497v2 Announce Type: replace Abstract: Vision-language-model (VLM)-guided reinforcement learning (RL) has recently attracted significant attention …
Real-Time Visual Intelligence on Low-Cost UAVs: A Modular Approach for Tracking, Scanning, and Navigation
arXiv:2607.02298v1 Announce Type: new Abstract: Autonomous drones are rapidly transforming modern warfare and civil applications alike. This paper presents the …
CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
arXiv:2603.22435v2 Announce Type: replace Abstract: "Code-as-Policy" considers how executable code can complement data-intensive Vision-Language-Action (VLA) me…
LIME: Learning Intent-aware Camera Motion from Egocentric Video
arXiv:2607.02417v1 Announce Type: new Abstract: Autonomous robots often need to move their camera before they can act: to inspect an object, reveal an occluded …
Controllable Sim Agents with Behavior Latents
arXiv:2607.02496v1 Announce Type: new Abstract: Realistic traffic simulation requires agents that imitate logged behavior and can also be steered along interpre…
Bridge-WA: Predicting Where and How the World Changes for Robotic Action
arXiv:2607.02195v1 Announce Type: new Abstract: General-purpose vision-language-action models benefit from large vision-language priors, but effective manipulat…
SPLC: Social Preference Learning for Crowd Robot Navigation
arXiv:2607.01925v1 Announce Type: new Abstract: Offline reinforcement learning (RL) holds significant potential for crowd robot navigation in human-robot coexis…
The Three Dimensions of ROS 2 Middleware
arXiv:2607.01304v1 Announce Type: new Abstract: ROS 2 (Robot Operating System 2) has emerged as the de facto standard for modern robot software development, wit…
WaveLander: A Generalizable Hierarchical Control Framework for UAV Landing on Wave-Disturbed Platforms via Reinforcement Learning
arXiv:2607.01281v1 Announce Type: new Abstract: Autonomous landing of unmanned aerial vehicles (UAVs) on wave-disturbed marine platforms remains challenging due…
VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models
arXiv:2512.22539v3 Announce Type: replace Abstract: While Vision-Language-Action models (VLAs) are rapidly advancing towards generalist robot policies, it remai…
Actuator Reality Shaping for Zero-Shot Sim-to-Real Robot Learning
arXiv:2607.02205v1 Announce Type: new Abstract: Sim-to-real transfer in robot learning is often limited by discrepancies between the ideal actuator dynamics ass…
Influence of Radial Basis Activation Functions on Intelligent Controller for Robotic Manipulators
arXiv:2607.02167v1 Announce Type: cross Abstract: This paper presents an intelligent control framework for trajectory tracking of robotic manipulators using rad…
BIFROST: Bridging Invariant Feature Representation for Observation-space Sim2Real Transfer
arXiv:2607.01410v1 Announce Type: new Abstract: Sim2real transfer for robot policy learning suffers due to mismatch between simulation and reality. Existing met…
DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving
arXiv:2603.18315v2 Announce Type: replace Abstract: Traditional reinforcement learning (RL) methods rely on manually engineered rewards or sparse collision sign…
VLAFlow: A Unified Training Framework for Vision-Language-Action Models via Co-training and Future Latent Alignment
arXiv:2607.01586v1 Announce Type: cross Abstract: Vision-language-action models (VLAs) have recently advanced robotic manipulation, yet the effects of different…
ManipArena: Comprehensive Real-world Evaluation of Reasoning-Oriented Generalist Robot Manipulation
arXiv:2603.28545v2 Announce Type: replace Abstract: Vision-Language-Action (VLA) models and world-action models have emerged as central paradigms for general-pu…