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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

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Robotics

Towards Reliable Sequential Object Picking in Clutter: The Runner-up Solution to RGMC 2025

arXiv:2606.12954v1 Announce Type: new Abstract: As a long-standing challenge in robotic manipulation, stable and efficient grasping in cluttered environments is…

Robotics

An Embodied Simulation Platform, Benchmark, and Data-Efficient Augmentation Framework for Wet-Lab Robotics

arXiv:2606.12936v1 Announce Type: new Abstract: Wet-lab robots can improve the reproducibility, throughput, and safety of biomedical experiments, but scaling th…

Robotics

DARRMS -- An Efficient Algorithm for Dynamic Attention Radius in Resource-Constrained Multi-Agent Systems

arXiv:2606.12614v1 Announce Type: new Abstract: Multi-agent systems are integral tools for various domains such as robotics, cybersecurity, and autonomous vehic…

Robotics

From Imitation to Alignment: Human-Preference Flow Policies for Long-Horizon Sidewalk Navigation

arXiv:2606.12603v1 Announce Type: new Abstract: Autonomous long-horizon sidewalk navigation is essential for micro-mobility applications such as robotic food de…

Robotics

G-MAPP: GPU-accelerated Multi-Agent Planning and Perception for Reactive Motion Generation

arXiv:2606.12579v1 Announce Type: new Abstract: Reactive motion generation in unstructured environments remains an open challenge in robotics. Due to the comput…

Robotics

Foresight: Iterative Reasoning About Clues that Matter for Navigation

arXiv:2606.12550v1 Announce Type: new Abstract: Open-world mapless navigation from sparse language instructions requires resolving underspecified goals and infe…

Robotics

Trojan Attacks on Neural Network Controllers for Robotic Systems

arXiv:2602.05121v2 Announce Type: replace-cross Abstract: Neural network controllers are increasingly deployed in robotic systems for tasks such as trajectory t…

Robotics

RGB-S: Image-Aligned Tactile Saliency for Robust Dexterous Manipulation

arXiv:2606.08765v2 Announce Type: replace Abstract: Effective visuo-tactile integration is critical for robotic dexterous manipulation, especially when visual o…

Robotics

Lexicographic Minimum-Violation Motion Planning using Signal Temporal Logic

arXiv:2604.20428v2 Announce Type: replace Abstract: Motion planning for autonomous vehicles often requires satisfying multiple conditionally conflicting specifi…

Robotics

Multi-Modal Multi-Agent Robotic Cognitive Alignment enabled by Non-Invasive Consumer Brain Computer Interfaces: A Proof of Concept Exploration

arXiv:2606.13190v1 Announce Type: new Abstract: While non-verbal behaviors and expressive movements are essential for natural human-robot interaction, existing …

Robotics

Stubborn: A Streamlined and Unified Reinforcement Learning Framework for Robust Motion Tracking and Fall Recovery for Humanoids

arXiv:2606.12814v1 Announce Type: new Abstract: Recent reinforcement learning approaches have shown great promise in improving humanoid motion tracking performa…

Robotics

Learning to Assist: Collaborative VLAs for Implicit Human-Robot Collaboration

arXiv:2606.12475v1 Announce Type: new Abstract: Human-robot collaboration (HRC) combines the complementary strengths of humans and robots to improve task effici…

Robotics

QueryOcc: Query-based Self-Supervision for 3D Semantic Occupancy

arXiv:2511.17221v2 Announce Type: replace-cross Abstract: Learning 3D scene geometry and semantics from images is a core challenge in computer vision and a key …

Hello Robot is recognized by World Economic Forum as a tech pioneer
Robotics

Hello Robot is recognized by World Economic Forum as a tech pioneer

The World Economic Forum has honored Hello Robot, whose Stretch system provides mobile manipulation to older adults and people with disabilities. The post Hello…

AI could uncover new physics faster but there’s a surprising catch
Robotics

AI could uncover new physics faster but there’s a surprising catch

Scientists found that transfer learning can make the search for new physics in the universe much faster, slashing the need for expensive simulations. Yet the ap…

Inside XRZero-G0, a new 2,000-hour open dataset for robotics research
Robotics

Inside XRZero-G0, a new 2,000-hour open dataset for robotics research

X Square Robot has open-sourced XRZero-G0, a framework that reduces real-robot training data requirements by up to 20x. The post Inside XRZero-G0, a new 2,000-h…

Robotics

Task-Aligned Stability Analysis of Vision-Language Models for Autonomous Driving Hazard Detection

arXiv:2606.11889v1 Announce Type: cross Abstract: Vision-language models (VLMs) are increasingly used for scene understanding in autonomous driving, but robustn…

Robotics

CredibleDFGO: Differentiable Factor Graph Optimization with Credibility Supervision

arXiv:2605.06100v2 Announce Type: replace-cross Abstract: Global navigation satellite system (GNSS) positioning is widely used for urban navigation, but the cov…

Robotics

PEBRE: An Open-Hardware Compute and Perception Add-On for the Pepper Robot

arXiv:2606.12112v1 Announce Type: new Abstract: This paper presents the design, development, and experimental verification of PEBRE, an open-hardware add-on for…

Robotics

Steering Multirobot Behavior via Closed-Loop Affine Activation Editing

arXiv:2606.11489v1 Announce Type: new Abstract: Real-world robots need to adapt their behavior beyond the envelope of their pre-trained policy. Policy finetunin…

Robotics

Dynamic Execution Horizon Prediction for Chunk-based Robot Policies

arXiv:2606.11408v1 Announce Type: new Abstract: Action chunking has become a standard design in modern robot policies, from diffusion/flow policies to vision-la…

Robotics

HiPi: Reproducible High-Fidelity Piezoresistive Sensors for Robotic Manipulation

arXiv:2606.11372v1 Announce Type: new Abstract: Piezoresistive tactile sensors are attractive for robotic manipulation because they are thin, lightweight, low-c…

Robotics

MASK: Multi-Agent Semantic K-Scheduling for Risk-Sensitive 6G Robotics

arXiv:2606.11249v1 Announce Type: new Abstract: Realizing the vision of 6G connected robotics requires reconciling high-performance collaborative control with t…

Robotics

PLUME: Probabilistic Latent Unified World Modeling and Parameter Estimation for Multi-Finger Manipulation

arXiv:2606.11396v1 Announce Type: new Abstract: Dexterous manipulation with multi-finger hands can be sensitive to physical parameters such as object shape, pos…

Robotics

A Modular Dual-Camera Pipeline for Micro-Inspection Using Aerial Robots

arXiv:2606.11419v1 Announce Type: new Abstract: Most existing drone-based inspection systems require the drone to fly dangerously close to the target or follow …

Robotics

Bridging the sim2real gap in the table tennis robot with a transformer-based ball states predictor

arXiv:2606.11464v1 Announce Type: new Abstract: Robotic table tennis is a representative benchmark for high-speed, closed-loop robotic control in dynamic enviro…

Robotics

Adversarial Attacks on Learned Policies for Surgical Robotic Tasks

arXiv:2606.11535v1 Announce Type: new Abstract: Learning-based policies are being considered to augment the dexterity of human surgeons in robot-assisted surger…

Robotics

ConsistencyPlanner: Real-time Planning with Fast-Sampling Consistency Models

arXiv:2606.11569v1 Announce Type: new Abstract: Closed-loop planning in complex, real-world driving scenarios presents a critical challenge for autonomous drivi…

Robotics

Distortion-Resilient Robotic Imitation Learning for Autonomous Cable Routing

arXiv:2606.11577v1 Announce Type: new Abstract: The rapid development of intelligent control methodologies has endowed robots with powerful autonomous intellige…

Robotics

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition

arXiv:2606.11628v1 Announce Type: new Abstract: The most widely-adopted robot learning pipelines today learn skills from robot demonstrations or structured huma…