Industry Monitor Humanoid Industrial & Cobot AGV / AMR Quadruped Reducers · Servos · Sensors Drones & Autonomy Embodied AI
Robos News

Research

Frontier robotics research: arXiv cs.RO papers, embodied AI, VLA models, manipulation, navigation and learning systems.

Frontier robotics research: arXiv cs.RO papers, embodied AI, VLA models, manipulation, navigation and learning systems.

Latest in Research

6273 stories
Robotics

Just Noticeable Difference Modeling for Token Compression in Vision-Language-Action Models

arXiv:2608.21247v1 Announce Type: cross Abstract: Token compression has become a key technique for reducing the inference cost of large foundation models, with …

Robotics

Graph-Operator World Models for Morphology-Parameter Generalization in Continuous Control

arXiv:2608.20936v1 Announce Type: cross Abstract: World models for continuous control are commonly trained for a fixed physical system and can degrade when know…

Robotics

A Safety-Driven Architectural Framework for Fail-Operational Drone Swarms in Critical Missions

arXiv:2608.20906v1 Announce Type: cross Abstract: The certification of Unmanned Aerial Vehicle (UAV) swarms for safety-critical operations requires verifiable d…

Robotics

Multi-Modal Traffic Sign Detection with Semantic Attributes for Autonomous Driving

arXiv:2608.20874v1 Announce Type: cross Abstract: Reliable traffic sign detection is a prerequisite for the global deployment of autonomous driving systems, whe…

Robotics

GhostTac: Manipulating Tactile Sensors without Physical Contact

arXiv:2608.20817v1 Announce Type: cross Abstract: Tactile sensors are integral to modern robotic systems, enabling robots to perceive and interact with the phys…

Robotics

Learning-Based Measurement-Robust Control Barrier Functions for Obstacle Avoidance under State Estimation Error

arXiv:2608.20467v1 Announce Type: cross Abstract: Safety filters are an effective tool for enforcing constraints in safety-critical systems, but most existing m…

Robotics

ViTacPhys: Physical Property-Aware Grasping from Human Visual-Tactile Demonstrations

arXiv:2608.21355v1 Announce Type: new Abstract: Recent vision-based action models have demonstrated strong capabilities in complex manipulation, but they rarely…

Robotics

SRL-MPC: Shape-Aware Reinforcement Learned Model Predictive Control

arXiv:2608.21175v1 Announce Type: new Abstract: Safe and efficient shape-aware navigation in heterogeneous crowds and robot fleets remains challenging. Traditio…

Robotics

FF-MPCC: High-speed Agile Formation Flight with Model Predictive Contouring Control

arXiv:2608.21056v1 Announce Type: new Abstract: Flying in a prescribed formation in an agile manner remains a challenging problem in the field of UAVs, particul…

Robotics

TaPeR: Probabilistic Recovery of Sparse Task Precedence Graphs from a Handful of Demonstrations

arXiv:2608.21035v1 Announce Type: new Abstract: Long-horizon manipulation tasks are often only partially ordered. For example, when assembling an electronic dev…

Robotics

Neural-Primitive: An Efficient End-to-end Local Planner with Primitive-based Imitation Learning for Autonomous Flight

arXiv:2608.20948v1 Announce Type: new Abstract: Autonomous flight in unknown cluttered environments is hindered by the computation-quality-memory trilemma of on…

Robotics

Fast Coordinated Bimanual Motion Planning With Hard Constraints

arXiv:2608.20946v1 Announce Type: new Abstract: Bimanual manipulation enables complex tasks but introduces added complexity from the high number of degrees of f…

Robotics

Hybrid Roller-Jamming Gripper for Object Acquisition and Retention Under Pose Uncertainty

arXiv:2608.20962v1 Announce Type: new Abstract: In household manipulation, pose uncertainty often results in off-centre or partial initial contact, making relia…

Robotics

Scalable Distributed Simulation-Based Testing for Automated Driving Systems

arXiv:2608.20904v1 Announce Type: new Abstract: Virtual scenario-based testing is a key enabler for validating automated driving systems (ADS) and intelligent t…

Robotics

Natural Sit-to-Stand Motion Synthesis For Humanoids via Guided Assistance Curricula and Staged Rewards

arXiv:2608.20823v1 Announce Type: new Abstract: A humanoid has infinitely many ways to stand up from sitting while maintaining balance, making sit-to-stand (STS…

Robotics

Logic-VLA: A Temporal Logic Conditioned Vision-Language-Action Model

arXiv:2608.20556v1 Announce Type: new Abstract: Vision-language-action (VLA) models can follow natural-language (NL) task instructions, but such instructions ma…

Robotics

Roadside-Cooperative Autonomous Driving: From Data Platform to Vision-Language End-to-End Reasoning

arXiv:2608.21032v1 Announce Type: new Abstract: Vehicle-to-Everything (V2X) cooperation enables beyond-line-of-sight perception, mitigating occlusions in single…

Robotics

Teaching is a Process: The TOSS Framework for Modeling Human Teaching Decisions in Human-Interactive Robot Learning

arXiv:2608.21083v1 Announce Type: new Abstract: Successful Human-Robot Teaching assumes alignment between robot processing needs and human teaching intent. To b…

Robotics

ForeTime-VLA: Causal Future-Token Distillation from a World Action Model for Conveyor-Belt Manipulation

arXiv:2608.20735v1 Announce Type: cross Abstract: Manipulating moving objects requires a policy to anticipate contact events, yet vision-language-action (VLA) p…

Robotics

Rapid Manufacturing of Lightweight Drone Frames Using Single-Tow Architected Composites

arXiv:2509.09024v2 Announce Type: replace Abstract: The demand for lightweight and high-strength composite structures is rapidly growing in aerospace and roboti…

Robotics

NeSAM: Neuro-Symbolic Kinodynamics with Soil Adaptation for Off-Road Mobility

arXiv:2608.21330v1 Announce Type: new Abstract: Accurate prediction of off-road vehicle motion over deformable terrain remains challenging because sinkage, slip…

Robotics

The Coastline as a Structural Constraint: Harnessing Scene Geometry for Autonomous Surface Vessel Localization

arXiv:2608.21276v1 Announce Type: new Abstract: Coastal environments contain rich, largely unexploited geometric structure capable of providing globally referen…

Robotics

PhysCaP: Grounding Code-as-Policy Agent with Physics-Informed Exploration

arXiv:2608.21031v1 Announce Type: new Abstract: We present PhysCaP, a Physics-Informed Code-as-Policy agent for active perception in robotic manipulation. While…

Robotics

IMU-Free Body-Frame State Estimation with Sparse Scene Flow for Quadcopters

arXiv:2608.20891v1 Announce Type: new Abstract: We present a vision-only state estimation system for X-configuration quadcopters equipped with a canonical stere…

Robotics

Rethinking Demonstration Unlearning in Imitation Learning for Robotics

arXiv:2608.20784v1 Announce Type: new Abstract: Imitation learning for robotics depends on human demonstrations, some of which people may later ask to remove. R…

Robotics

Koala Gripper: Co-designing Robotic Grippers and Data-Capture Devices for Scaling Dexterous Manipulation Learning

arXiv:2608.20546v1 Announce Type: new Abstract: As the demand for larger manipulation datasets grows, handheld robotic gripper data collection and the associate…

Robotics

Humanoid Musical Robots as Experimental Interfaces for Music-Evoked Emotion

arXiv:2608.20433v1 Announce Type: new Abstract: Advances in technology have led to increasingly sophisticated musical humanoid robots. However, their use has la…

A hidden “on switch” in human DNA has finally been decoded
Robotics

A hidden “on switch” in human DNA has finally been decoded

Researchers have used AI to uncover the DNA signature of a key genetic “switch” involved in turning genes on. After analyzing about 500,000 DNA sequences, the m…

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…

#AAMAS2026 blue sky award winner: Foundation world models for agents in changing environments
Robotics

#AAMAS2026 blue sky award winner: Foundation world models for agents in changing environments

Florent Delgrange won the Best Blue Sky Paper Award at AAMAS 2026 for his work Foundation World Models for Agents that Learn, Verify, and Adapt Reliably Beyond …