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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

Whole-Body Impedance Model Predictive Control for Safe Physical Human--Robot Interaction on Floating-Base Platforms

arXiv:2606.14617v1 Announce Type: new Abstract: Floating-base robots must balance under rigid contact constraints while interacting safely with humans. Existing…

Robotics

RT-VLA: Real-Time Vision-Language-Action Models via Knowledge Distillation

arXiv:2606.14010v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models have shown strong potential for end-to-end autonomous driving by jointly m…

Robotics

ADAPT: An Autonomous Forklift for Construction Site Operation

arXiv:2503.14331v4 Announce Type: replace Abstract: Efficient material logistics play a critical role in controlling costs and schedules in the construction ind…

Robotics

Kine2Go: Kinematic dataset for the Unitree Go2 robot with diverse gaits and motions

arXiv:2606.14433v1 Announce Type: new Abstract: The recent popularity of robotics, combined with the steadily decreasing cost of robotic hardware, has lowered t…

Robotics

What Robots Do Matters More Than What They Look Like: Task Context Shapes Trust in Educational HRI

arXiv:2606.14602v1 Announce Type: new Abstract: Socially assistive robots (SARs) are increasingly deployed in educational and information-sharing contexts, supp…

Robotics

Instruct-Particulate: Scaling Feed-Forward 3D Object Articulation with Kinematic Control

arXiv:2606.14699v1 Announce Type: cross Abstract: Reconstructing articulated 3D objects is important for animation, gaming, and robotic simulations. Recent neur…

Robotics

ReactVLA: Fast and Lightweight Reactive Robot Manipulation via Improved Mean Flow Action Generation

arXiv:2606.14255v1 Announce Type: new Abstract: Diffusion-based Vision-Language-Action (VLA) policies have demonstrated strong capability in modeling expressive…

Robotics

Robust Fall Recovery for Armless Bipedal-Wheeled Robots Via Force-Guided Learning

arXiv:2606.14270v1 Announce Type: new Abstract: Fall recovery is critical for autonomous legged locomotion. Existing methods have demonstrated that some legged …

Robotics

Development of a 3 in Sewer Pipe Inspection Robot with an Articulated Differential Mechanism using X-shaped Linkages

arXiv:2606.14070v1 Announce Type: new Abstract: This paper proposes, an improved version of the 3 in sewer pipe inspection robot equipped with an emergency evac…

Robotics

WAM4D: Fast 4D World Action Model via Spatial Register Tokens

arXiv:2606.14048v1 Announce Type: cross Abstract: World action models (WAMs) have recently shown promise in jointly modeling future observations and executable …

Robotics

CADET: Physics-Grounded Causal Auditing and Training-Free Deconfounding of End-to-End Driving Planners

arXiv:2606.14438v1 Announce Type: new Abstract: End-to-end (E2E) autonomous-driving planners trained by imitation are prone to statistical shortcuts: they assoc…

Robotics

Benchmarking Vision-Language-Action Models on SO-101: Failure and Recovery Analysis

arXiv:2606.08881v2 Announce Type: replace Abstract: Vision-Language-Action (VLA) models have demonstrated strong generalization in robotic manipulation, yet exi…

Robotics

Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack

arXiv:2606.14409v1 Announce Type: new Abstract: In this report, we present Hy-Embodied-0.5-VLA, abbreviated as HyVLA-0.5, an end-to-end system that spans the fu…

Robotics

Short-Horizon Position Accuracy of Single-Track Models: Implications for Motion Planning of Autonomous Vehicles

arXiv:2606.14216v1 Announce Type: new Abstract: Accurate and computationally efficient vehicle models are essential for motion planning of autonomous vehicles, …

Robotics

Elastic Queries Reinforcement Learning: Self-Aware Policy Execution for VLA Models

arXiv:2606.14375v1 Announce Type: new Abstract: Vision-language-action (VLA) models are powerful action generators for robot manipulation, but they are typicall…

Robotics

From Attacks to Curricula: Learnability-Guided Adversarial Training for Safe Autonomous Driving

arXiv:2606.14032v1 Announce Type: new Abstract: Closed-loop adversarial training improves autonomous driving safety by exposing policies to rare safety-critical…

Robotics

ORCA: A Platform for Open-Source Dexterity Research

arXiv:2606.14561v1 Announce Type: new Abstract: Robotics manipulation research increasingly focuses on two-finger parallel grippers for their effectiveness, aff…

Robotics

AnyGoal: Vision-Language Guided Multi-Agent Exploration for Training-Free Lifelong Navigation

arXiv:2606.13878v1 Announce Type: new Abstract: End-to-end navigation policies trained on large simulation corpora degrade sharply when transferred to out-of-di…

Burro introduces Grande 44 with proven outdoor autonomy built for heavy industry
Robotics

Burro introduces Grande 44 with proven outdoor autonomy built for heavy industry

The 44 hp Burro Grande brings more than 1 million hours of real-world experience to industrial towing, site logistics, and facilities operations. The post Burro…

Entangled robotic matter with cohesive motion
Robotics

Entangled robotic matter with cohesive motion

By Syl Kacapyr Cornell engineers have developed a robotic collective that behaves less like a machine and more like a material that flows, reshapes and adapts t…

Modernizing the global economy with industrial robotics is needed but not inevitable
Robotics

Modernizing the global economy with industrial robotics is needed but not inevitable

While service robotics adoption grows, industrial automation faces greater demand and bigger obstacles, notes a columnist. The post Modernizing the global econo…

Windows for robots: Edge AI expands usability
Robotics

Windows for robots: Edge AI expands usability

Before Windows, only engineers and computer scientists could work with computers. Edge AI is causing a similar accessibility shift for robotics. The post Window…

MassRobotics announces the winners of 2026 Robotics Medal and Rising Star awards
Robotics

MassRobotics announces the winners of 2026 Robotics Medal and Rising Star awards

Allison Okamura and Ayoung Kim won MassRobotics' 2026 Robotics Medal and Rising Star Medal, which honor women in robotics. The post MassRobotics announces the w…

AI in Warehousing: Akash Gupta’s vision for the future
Robotics

AI in Warehousing: Akash Gupta’s vision for the future

Explore how GreyOrange's software revolutionizes warehouse automation with AI, transforming logistics into dynamic, predictive ecosystems. The post AI in Wareho…

Robotics Summit panel explores the state of humanoid robot design
Robotics

Robotics Summit panel explores the state of humanoid robot design

At the Robotics Summit & Expo, experts weighed in on humanoid robotics today — and the ability to achieve a $20,000 price point tomorrow. The post Robotics…

Gatik to bring autonomous freight to PepsiCo’s North American supply chain
Robotics

Gatik to bring autonomous freight to PepsiCo’s North American supply chain

The partnership focuses on PepsiCo’s regional transportation networks, where it moves products daily from site to site. The post Gatik to bring autonomous freig…

Robot Talk Episode 160 – Robotic blacksmiths, with Edward Mehr
Robotics

Robot Talk Episode 160 – Robotic blacksmiths, with Edward Mehr

Claire chatted to Edward Mehr from Machina Labs about their RoboCraftsman that shapes complex metal parts for the aerospace, defence, and automotive industries.…

Robotics

Sparse2Act: Learning Action-Aligned Sparse 3D Representations for Cross-Domain Robot Manipulation

arXiv:2606.12759v1 Announce Type: new Abstract: Explicit 3D representations are attractive for manipulation because they expose object shape, workspace geometry…

Robotics

EmbodiSteer: Steering Embodiment-Agnostic Visuomotor Policies with Joint-Space Guidance for Zero-Shot Cross-Embodiment Deployment

arXiv:2606.12965v1 Announce Type: new Abstract: Scalable robot imitation learning relies on large-scale heterogeneous data from diverse robots or body-free data…

Robotics

Y-BotFrame: An Extensible Embodied Agent Framework for Quadruped Robot Assistants

arXiv:2606.13049v1 Announce Type: new Abstract: Quadruped robots are capable of traversing a wide range of complex terrains with high flexibility. As highly mob…