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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

SGTP: Sampling-based Game-Theoretic Planning for Real-Time Multi-Vehicle Autonomous Racing

arXiv:2607.25388v1 Announce Type: new Abstract: Autonomous multi-vehicle racing requires real-time planning of diverse competitive behaviors in intense interact…

ENvue Medical develops robotic feeding tube placement system
Robotics

ENvue Medical develops robotic feeding tube placement system

ENvue Drive is designed to assist, not replace, the clinician, who retains full control of the procedure at all times. The post ENvue Medical develops robotic f…

Registration is open for RoboBusiness 2026
Robotics

Registration is open for RoboBusiness 2026

This year, join us in October in Santa Clara to celebrate 20 years of robotics excellence at RoboBusiness 2026. The post Registration is open for RoboBusiness 2…

How Integrated Actuators Improve Humanoid Robot Joint Performance and System Integration
Robotics

How Integrated Actuators Improve Humanoid Robot Joint Performance and System Integration

Humanoid robots have become an important area of research in robotics, attracting attention from universities, research institutions, and technology companies. …

Agency Tool Company wants to make OTA software updates easier
Robotics

Agency Tool Company wants to make OTA software updates easier

Two Scythe co-founders are using their experience building commercial robots to create tools for robotics developers at Agency Tool Co. The post Agency Tool Com…

Soft robotic heart offers new way to study disease and test life-saving devices
Robotics

Soft robotic heart offers new way to study disease and test life-saving devices

The soft robotic model of the human heart, developed at UNSW. Credit: UNSW/Richard Freeman. UNSW researchers have developed a soft robotic model of the human he…

Robotics

Continual-RL for Generalization in Autonomous Racing on the RoboRacer Platform

arXiv:2607.24320v1 Announce Type: new Abstract: A key challenge in modern robotics is to adapt to changing environments, a challenge that is exacerbated when si…

Robotics

A Case Study on the Acceptance of a Humanoid Robotic Head Employed in Three Public Spaces

arXiv:2607.24113v1 Announce Type: new Abstract: Previous research has shown that a human-like robot's acceptance heavily depends on the setting in which it oper…

Robotics

The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation

arXiv:2607.23108v1 Announce Type: new Abstract: While scaling laws for imitation learning have primarily focused on generalization in open-world settings, the r…

Robotics

Accuracy potential of visual localization exploiting high-end street-level imagery

arXiv:2607.24409v1 Announce Type: cross Abstract: Accurate and reliable pose information with respect to a reference frame is increasingly demanded across appli…

Robotics

Self-Supervised Consistency Enhanced Disentangled Learning for Neural Decoding Generalization in Brain-Machine Interface

arXiv:2607.24023v1 Announce Type: cross Abstract: Brain-Machine Interfaces (BMIs) provide a direct communication pathway between the brain and external devices,…

Robotics

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning

arXiv:2505.18334v2 Announce Type: replace Abstract: Past work has demonstrated that autonomous vehicles can drive more safely if they communicate with each othe…

Robotics

KAI: A Kinematic-Aware Interface for Data-Efficient Articulated Object Manipulation

arXiv:2607.24493v1 Announce Type: new Abstract: Articulated object manipulation requires an understanding of kinematic structure that is difficult and costly to…

Robotics

Imitation Learning for Robot Assistance in Open Surgery: A Multi-Policy Evaluation on Suture Following

arXiv:2605.28736v2 Announce Type: replace Abstract: This study presents the first evaluation of general-purpose imitation learning for surgeon-robot collaborati…

Robotics

DeVA: Decoupled Video-Action Model with physical guidance for robot policy learning

arXiv:2607.24159v1 Announce Type: new Abstract: Generalizable robot manipulation requires policies that can anticipate how visual scenes evolve while executing …

Robotics

VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference

arXiv:2512.01031v2 Announce Type: replace Abstract: Vision-Language-Action models (VLAs) are becoming increasingly capable across diverse robotic tasks. However…

Robotics

RRTrack: Robust and Recoverable Object 6D Pose Tracking for Dynamic Scenes

arXiv:2607.23669v1 Announce Type: cross Abstract: Robust object 6D pose tracking is critical for robotic systems operating in dynamic and occluded scenes. Per-f…

Robotics

Not Forgotten: Implementation and Evaluation of a Personalized Episodic Memory for the Humanoid Robot Head Kim

arXiv:2607.24190v1 Announce Type: new Abstract: Social robots that rely on large language models for conversation are unable to retain information across sessio…

Robotics

Embodied GPT-5.1: Evidence of a World Model?

arXiv:2607.23899v1 Announce Type: new Abstract: This exploratory study examines whether a large multimodal language model, GPT-5.1, can serve as the high-level …

Robotics

WorldDiT: A Unified Diffusion Architecture for World and Action Modeling

arXiv:2607.23909v1 Announce Type: cross Abstract: Many recent robot policies pursue stronger control by using large pretrained vision-language models (VLMs) as …

Robotics

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation

arXiv:2607.24538v1 Announce Type: new Abstract: In this paper, we present NEO, a unified framework providing language-guided NeRF editing for robotic manipulati…

Robotics

ArmnetBench v0.1: Parallel Real-World Evaluation of Manipulation Policies on a Low-Cost Arm Farm

arXiv:2607.24481v1 Announce Type: new Abstract: Real-world evaluation is a bottleneck in developing generalist robot manipulation policies. Each rollout require…

Robotics

LabRobFail: A Benchmark for Robotic Failure Analysis in Chemical Self-driving Laboratories

arXiv:2607.23704v1 Announce Type: new Abstract: The deployment of embodied agents in self-driving laboratories could accelerate scientific discovery, yet their …

Robotics

Real2Sim2Real for Vision-Language-Action Manipulation: An AMD ROCm-Based Pipeline

arXiv:2607.22997v1 Announce Type: new Abstract: Physical AI -- the integration of large vision-language-action (VLA) models with embodied agents that act in the…

Robotics

SimBEV2X: A Large-Scale Dataset and Data Generation Tool for Multi-Task Vehicle-to-Everything Cooperative Perception

arXiv:2607.23910v1 Announce Type: cross Abstract: Cooperative perception through vehicle-to-everything (V2X) communication can overcome the inherent physical li…

Robotics

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression

arXiv:2603.29227v2 Announce Type: replace Abstract: Accurate and efficient scene representation is crucial for robotic tasks such as motion planning, manipulati…

Robotics

Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot

arXiv:2607.23204v1 Announce Type: new Abstract: Large language model (LLM)-based dialogue systems suffer response delays because generation begins only after fi…

Robotics

Data Pyramid for Embodied Manipulation

arXiv:2607.24744v1 Announce Type: new Abstract: Multimodal foundation models learned to see and to speak by consuming the whole internet. Embodied agents admit …

Robotics

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks

arXiv:2607.24292v1 Announce Type: new Abstract: Autonomous free-flying robots in orbital environments require controllers that are both versatile and resource-e…

Robotics

Learning Traversability-Aware Global Planners for Long Horizon Off-Road Navigation

arXiv:2607.23743v1 Announce Type: new Abstract: Autonomous navigation across large off-road environments remains a challenging problem. Onboard sensors perceive…