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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

SymmGrid: Super-Scaling On-Robot Learning with Parallelized Symmetries and Egocentric-Exocentric Visual Perception

arXiv:2607.26985v1 Announce Type: new Abstract: Deep reinforcement policy learning directly in physical robots (on-robot learning) remains bottlenecked by slow …

Robotics

Risk-Aware Motion Planning with Learned Trajectory Primitives and Probabilistic Safety Assessment

arXiv:2607.26802v1 Announce Type: new Abstract: This paper presents a radial basis function network (RBFN)-informed motion planning framework for safe and effic…

Robotics

HeteroPROPMT: A Real-time and Privacy-Preserving Heterogeneous Collaborative Perception Framework

arXiv:2607.26283v1 Announce Type: cross Abstract: Collaborative Perception (CP) improves autonomous systems' awareness of their surroundings by sharing sensor d…

Robotics

TiPToP: A Modular Open-Vocabulary Robot Manipulation System That Plans

arXiv:2603.09971v2 Announce Type: replace Abstract: We present TiPToP, a modular manipulation system that integrates pretrained foundation models with a GPU-acc…

Robotics

Speech2Grasp: Data-Efficient Transfer of Text-Conditioned Grasp Detection to Speech in Humanoid Robots

arXiv:2607.26567v1 Announce Type: new Abstract: Humanoid robots increasingly require multi-modal understanding for natural interaction with humans. Despite the …

Robotics

Embodied Agents Take Control: Minimal-Interface Zero-Shot Agents Rival Industrial-Scale Policies in Vision-and-Language Navigation

arXiv:2607.26148v1 Announce Type: new Abstract: Autonomous embodied agents must sustain a long decision-making loop that involves perceiving, acting, verifying,…

Robotics

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning

arXiv:2509.11594v3 Announce Type: replace Abstract: GBPP is a fast learning based scorer that selects a robot base pose for grasping from a single RGB-D snapsho…

Robotics

PolygMap: A Perceptive Locomotion Framework for Humanoid Robot Stair Climbing

arXiv:2510.12346v2 Announce Type: replace Abstract: Recently, biped robot walking technology has been significantly developed, mainly in the context of a bland …

Robotics

FleetScape: A Mixed Reality Sandtable for Spatial Supervision and Control of Scalable Drone Fleets

arXiv:2607.26423v1 Announce Type: cross Abstract: As autonomous drone deployments scale from individual units to coordinated swarms, the human operator's role s…

Robotics

Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy

arXiv:2607.26279v1 Announce Type: new Abstract: Collaborative robots are well-suited to maritime missions that benefit from coordination, such as the exploratio…

Robotics

DLAM: Distributional Latent Actions with Temporal Constraints

arXiv:2607.27138v1 Announce Type: new Abstract: Vision-language-action (VLA) models remain constrained by scarce action-labeled robot data, whereas action-free …

Robotics

NeoRacer: An Open, Standardized 1:12 Scale Autonomous Race Car for Benchmarking and Education

arXiv:2607.26855v1 Announce Type: new Abstract: Many scientific fields rely on standard benchmarks and shared platforms to improve review and reproducibility, b…

Robotics

Visibility-Aware Cooperative Tracking with Decentralized LiDAR-Based Aerial Swarms

arXiv:2512.01280v2 Announce Type: replace Abstract: Autonomous aerial tracking with drones offers vast potential for surveillance, cinematography, and industria…

Robotics

LLM-Grounded Dynamic Task Planning with Hierarchical Temporal Logic for Human-Aware Multi-Robot Handover

arXiv:2602.09472v2 Announce Type: replace Abstract: Large Language Models (LLMs) enable non-experts to specify open-world multi-robot tasks, but the generated p…

Robotics

Reinforcement Learning on Cost-Constrained Quadrupedal Hardware

arXiv:2607.26434v1 Announce Type: new Abstract: Deploying learned control policies on low-cost robotic platforms introduces transport latencies and noisy motor …

GMEX Robotics to acquire MediaMeta.ai for social intelligence
Robotics

GMEX Robotics to acquire MediaMeta.ai for social intelligence

GMEX Robotics has acquired shares in MediaMeta to incorporate social intelligence capabilities into its service robots. The post GMEX Robotics to acquire MediaM…

Experts react to FCC limits on U.S. imports of new humanoid and mobile robots
Robotics

Experts react to FCC limits on U.S. imports of new humanoid and mobile robots

The FCC has banned some foreign humanoids, which industry experts say could help U.S. industry but hinder innovation. The post Experts react to FCC limits on U.…

Surviving the paper deluge: a one-year study in learning from demonstration
Robotics

Surviving the paper deluge: a one-year study in learning from demonstration

With the explosion of robotics research, staying current in fields like Learning from Demonstration (LfD) is a monumental challenge. Is AI the solution to the “…

Robotics

Motion Generation With Environmental Constraints

arXiv:2607.25053v1 Announce Type: new Abstract: Robot motion planning faces challenges in high-dimensional spaces and uncertain environments, often constrained …

Robotics

RoboMME-Interference: Benchmarking Robot Memory Under Interference

arXiv:2606.22338v2 Announce Type: replace Abstract: Robots deployed in realistic settings will accumulate experience across many sessions and tasks over their d…

Robotics

Decentralized Scalable Exploration via Emergent Adaptive L\'evy Walks on Minimal-Sensing Platforms

arXiv:2607.25195v1 Announce Type: new Abstract: Efficient autonomous exploration with palm-sized nano-UAVs remains challenging due to severe limitations in sens…

Robotics

Egocentric Station Holding of Robotic Fish in Unknown Turbulent Background Flow

arXiv:2607.24860v1 Announce Type: new Abstract: Approaching a target position and holding station in flowing water is a fundamental and critical capability for …

Robotics

Modular Robotic Catheters for Endovascular Aneurysm Repair

arXiv:2607.25807v1 Announce Type: new Abstract: Fenestrated/Branched endovascular aneurysm repair (FEVAR/BEVAR) require surgeons to navigate catheters and guide…

Robotics

P3: Probabilistic Policy Propagation for Stable VAE-Based Robot Learning

arXiv:2607.25541v1 Announce Type: new Abstract: Variational Autoencoders are widely used to encode high-dimensional and noisy observations in robotics. However,…

Robotics

Hybrid Artificial Potential Fields and Spatio-Temporal Transformers for Real-Time AUV Path Planning

arXiv:2607.25056v1 Announce Type: new Abstract: Autonomous Underwater Vehicles (AUVs) operate in complex, unstructured environments where efficient and safe pat…

Robotics

RankFormer: A Propose-then-Select Transformer for Multi-Agent Multimodal Trajectory Prediction

arXiv:2604.07126v2 Announce Type: replace Abstract: Predicting vehicle trajectories plays an important role in autonomous driving, transportation safety analysi…

Robotics

Physics-Aware End-to-End Deep Reinforcement Learning for Quadcopter Control with Actuator Dynamics

arXiv:2607.25985v1 Announce Type: new Abstract: Unmanned aerial vehicles (UAVs), particularly quadcopters, present unique challenges for autonomous control due …

Robotics

A context-adaptive policy framework for robust and reactive robotic manipulation via uncertainty-aware imitation learning

arXiv:2410.24035v2 Announce Type: replace Abstract: Generating robust and reactive manipulation strategies that can adapt to changing context information is a c…

Robotics

Predictive Control for Driving under Uncertain Road Geometry Estimated from Onboard Vision

arXiv:2508.02494v2 Announce Type: replace-cross Abstract: Autonomous vehicles driving on unknown roads must estimate the road geometry from onboard sensors and …

Robotics

Towards Embodied Cognition in Robots via Spatially Grounded Synthetic Worlds

arXiv:2505.14366v2 Announce Type: replace-cross Abstract: We present a conceptual framework for training Vision-Language Models (VLMs) to perform Visual Perspec…