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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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Use a digital twin to explore automation before committing capital
Robotics

Use a digital twin to explore automation before committing capital

While a digital twin does not replace a systems integrator, it can help manufacturers evaluate robots and plan applications, says RoboDK. The post Use a digital…

Robots don’t run themselves: The workforce powering physical AI
Robotics

Robots don’t run themselves: The workforce powering physical AI

The addition of physical AI to the workforce requires more key performance indicators than throughput, according to the president of HireArt. The post Robots do…

The technology that could bring robot mowers to one in two American lawns
Robotics

The technology that could bring robot mowers to one in two American lawns

Improvements in AI, satellite navigation, and machine vision are helping robotic lawn mowers spread in the U.S., writes Sunseeker's founder. The post The techno…

How software-defined manufacturing fits into real factory operations
Robotics

How software-defined manufacturing fits into real factory operations

Roby Lynn explains how R2 Labs bridges PLCs, robots, and AI to unify fragmented manufacturing systems. The post How software-defined manufacturing fits into rea…

Schaeffler plans to mass produce gearboxes for humanoid robots in 2027
Robotics

Schaeffler plans to mass produce gearboxes for humanoid robots in 2027

Schaeffler is creating its strain wave gearboxes with a forming technology that will enable mass production of the components. The post Schaeffler plans to mass…

Amazon’s Bhavana Chandrashekhar to speak at RoboBusiness’ Women in Robotics Lunch
Robotics

Amazon’s Bhavana Chandrashekhar to speak at RoboBusiness’ Women in Robotics Lunch

The Women in Robotics Lunch at RoboBusiness is an opportunity to form new connections and deepen relationships. The post Amazon’s Bhavana Chandrashekhar t…

Robotics

Wave-Based Bilateral Teleoperation between Nonlinear Manipulators with Direct Contact Force Feedback

arXiv:2608.20043v1 Announce Type: cross Abstract: We study bilateral teleoperation between nonlinear, multi-DOF robotic manipulators in the presence of constant…

Robotics

Multi-Tool Robotics Enables In-Situ Sample Manipulation for Time-Resolved Synchrotron Measurements

arXiv:2608.19280v1 Announce Type: cross Abstract: The high photon flux at synchrotron beamlines allows for the measurement of fast dynamical processes. However,…

Robotics

PVRA: A Pointwise Key-point Voting Framework for Robotic Assembly

arXiv:2608.19968v1 Announce Type: new Abstract: Modern computer vision has enabled partial autonomy in robotic assembly manipulation. However, performing autono…

Robotics

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering

arXiv:2604.17810v2 Announce Type: replace Abstract: This paper considers multi-agent embodied question answering (MA-EQA), which enables robot teams to answer q…

Robotics

Calming Robot Pitches? Exploring the Influence of Robot Voice Pitch on Children's Stress Levels

arXiv:2608.19826v1 Announce Type: cross Abstract: This study examined whether variations in robot speech pitch influence children's stress levels during a robot…

Robotics

World-Model-Grounded LLM Planning for AUV and ASV Navigation Near Offshore Wind Farms

arXiv:2608.19661v1 Announce Type: new Abstract: Large language models can turn a natural-language mission into a sequence of robot actions, but they do not have…

Robotics

Keeping the Franka Emika Panda alive: a ROS 2 stack with a reliable position interface

arXiv:2608.19740v1 Announce Type: new Abstract: This paper presents an open-source software stack that restores ROS 2 support for the Franka Emika Panda robot w…

Robotics

Towards general embodied intelligence: integrating large language models, knowledge bases, and reasoning capabilities to build the next generation of AI agents

arXiv:2608.19794v1 Announce Type: cross Abstract: The convergence of large language models (LLMs), structured knowledge bases (KBs), and reasoning ability (RA) …

Robotics

DECOWAM: Decoupled Whole-Body World-Action Model for Legged Mobile Manipulation

arXiv:2608.20114v1 Announce Type: cross Abstract: Mobile manipulation requires a robot to predict how locomotion and arm motion jointly alter future observation…

Robotics

DiffDef: A Diffusion Model for Generating Multimodal Goal Shapes From Demonstrations for Deformable Object Manipulation

arXiv:2506.18779v2 Announce Type: replace Abstract: Deformable object manipulation is a key capability in many robotic applications. A promising paradigm for th…

Robotics

Learning Vision-Driven Reactive Soccer Skills for Humanoid Robots

arXiv:2511.03996v2 Announce Type: replace Abstract: Humanoid soccer poses a representative challenge for embodied intelligence, requiring robots to coordinate a…

Robotics

Design strategies for empathetic AI robots for older adults

arXiv:2510.01192v2 Announce Type: replace-cross Abstract: Emulating empathy in human-robot interaction is a key component for achieving satisfying social, trust…

Robotics

WaveVerif: Acoustic Side-Channel based Verification of Robotic Workflows

arXiv:2510.25960v2 Announce Type: replace-cross Abstract: In this paper, we present a framework that uses acoustic side-channel analysis (ASCA) to monitor and v…

Robotics

Hybrid Feedback Sampling for Sample-Efficient Model Predictive Control

arXiv:2608.19443v1 Announce Type: new Abstract: Thanks to its parallelizability and flexibility, sampling-based Model Predictive Control (MPC) has become widely…

Robotics

APPROVE: Visual End-User-in-the-Loop Robot Programming with LLMs

arXiv:2608.19281v1 Announce Type: new Abstract: Programming robots remains challenging for non-experts, as traditional methods require expert knowledge and even…

Robotics

Planning-Oriented End-to-End Autonomous Driving: Architectures, Evaluation, and Emerging Paradigms

arXiv:2608.20111v1 Announce Type: new Abstract: End-to-end autonomous driving has evolved from camera-to-control regression toward planning-oriented systems tha…

Robotics

Towards Professional Tennis Styles for Humanoid Robots with Adaptive Motion Planning and Tracking

arXiv:2608.20087v1 Announce Type: new Abstract: Humanoid robots have recently demonstrated promising capabilities in real-world ball sports. However, achieving …

Robotics

GOAG: Generative and Object-Agnostic Grasp Planner for Dexterous Robotic Manipulation

arXiv:2608.19759v1 Announce Type: new Abstract: Multifingered grasping is a crucial robotic skill, but current deep-learning grasp planners often struggle to ge…

Robotics

SAGE: Ergodic Control for Autonomous and Adaptive Inspection of Subsea Infrastructure

arXiv:2608.19671v1 Announce Type: new Abstract: Subsea Christmas Trees (XTs) are underwater structures that use valves for directing oil flow, needing constant …

Robotics

What Matters for Latent Actions in Robot Learning

arXiv:2608.19613v1 Announce Type: new Abstract: Latent Action Models (LAMs) have emerged as a promising paradigm for enabling robot learning to leverage large-s…

Robotics

The Missing Touch: Spatially Distributed Tactile Feedback Brings Teleoperation Closer to Human Dexterity

arXiv:2608.19372v1 Announce Type: new Abstract: A fundamental challenge in robotic teleoperation is enabling an operator to control a remote robot as effortless…

Robotics

SCAPE: Scenario-Conditioned Simulation-Augmented Policy Evaluation

arXiv:2608.19425v1 Announce Type: new Abstract: Reliable performance evaluation is a central bottleneck for deploying robot-learning policies in real-world cond…

Robotics

The Verification Gap in Networked Physical AI: A Post-Semantic Communication Framework

arXiv:2608.19593v1 Announce Type: new Abstract: A task-effective proposal is not yet a justified physical action. In networked Physical AI, a proposal may be un…

Robotics

OrthoSkillVLA: Continual Skill Learning via Gradient-Informed Skill Subspace Adaptation

arXiv:2608.19589v1 Announce Type: new Abstract: Pretrained Vision-Language-Action models provide a strong foundation for robot learning, but sequentially adapti…