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
6171 storiesImage-Domain Tilt Constrained Distributed Fusion for Maneuvering UAV Tracking with Multi-Camera Electro-Optical Observations
arXiv:2607.01008v1 Announce Type: cross Abstract: Short-horizon prediction is essential for electro-optical UAV tracking, especially when the target is small, m…
Enhancing Robustness in Robot-Environment Interactions through Passive Compliant Degrees of Freedom: A Hybrid Position-Force Control Approach with Feedback Linearization
arXiv:2607.00571v1 Announce Type: new Abstract: Robot-environment interactions in dynamic or unstructured settings are often degraded by impact shocks, vibratio…
Solution space path planning for supporting en-route air traffic control
arXiv:2607.00064v1 Announce Type: cross Abstract: As technology advances, many path-planning algorithms have been proposed for Air Traffic Management, yet their…
Guaranteed Escape for a Bouncing Robot in Pipe Chains
arXiv:2607.00221v1 Announce Type: cross Abstract: We study the symmetric bouncing of a point robot within orthogonally-joined rectangles with equal width, which…
Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge Spaces
arXiv:2603.14354v3 Announce Type: replace-cross Abstract: End-to-End autonomous driving (E2E-AD) systems face challenges in lifelong learning, including catastr…
ABot-M0.5: Unified Mobility-and-Manipulation World Action Model
arXiv:2607.00678v1 Announce Type: cross Abstract: Mobile manipulation is a key capability for general-purpose robots, yet remains challenging for current embodi…
VLM-AR3L: Vision-Language Models for Absolute and Relative Rewards in Reinforcement Learning
arXiv:2607.00483v1 Announce Type: new Abstract: Designing effective reward functions remains a major challenge in reinforcement learning (RL), particularly in o…
Human-Centric Transferable Tactile Pre-Training for Dexterous Robotic Manipulation
arXiv:2607.01067v1 Announce Type: new Abstract: As an essential modality for dexterous and contact-rich tasks, tactile sensing provides precise force feedback t…
Manifold-constrained Hamilton-Jacobi Reachability Learning for Decentralized Multi-Agent Motion Planning
arXiv:2511.03591v2 Announce Type: replace Abstract: Safe multi-agent motion planning (MAMP) under task-induced constraints is a critical challenge in robotics. …
When to Personalize Household Object Search: A Rigidity-Gated Hybrid Policy
arXiv:2607.00022v1 Announce Type: new Abstract: Service robots searching for household objects rely on spatial priors to reduce search cost, yet object location…
FLYNN: Robust Neural Network for Robot Navigation using Fly Brain Topology
arXiv:2607.00025v1 Announce Type: new Abstract: While deep learning models achieve state-of-the-art performance in complex tasks, they remain brittle when faced…
Creating Impactful Autonomous Driving Datasets: A Strategic Guide from Research Gap to Benchmark
arXiv:2607.00710v1 Announce Type: cross Abstract: Well-designed autonomous driving datasets have fundamentally shaped research progress, yet existing literature…
DriveVA: Video Action Models are Zero-Shot Drivers
arXiv:2604.04198v2 Announce Type: replace-cross Abstract: Generalization is a central challenge in autonomous driving, as real-world deployment requires robust …
Privacy-Preserving Depth-Only Open-Vocabulary 3D Semantic Segmentation Via Uncertainty-Guided Test-Time Optimization
arXiv:2607.00978v1 Announce Type: cross Abstract: Privacy-preserving perception is a critical requirement for deploying 3D scene understanding systems in real-w…
AMBUSH: Collaborative Capture in Complex Environments with Neural Acceleration
arXiv:2607.01029v1 Announce Type: new Abstract: Collaborative capture of dynamic targets is common in nature as an essential strategy for weaker species against…
Learning Gait-Aware Quadruped Locomotion with Temporal Logic Specifications
arXiv:2607.00442v1 Announce Type: new Abstract: Reinforcement learning (RL) for quadruped locomotion commonly depends on fixed, hand-crafted, and Markovian rewa…
AutoSpeed: Annotation-Free Stage-Adaptive Motion Speed Learning for Robot Manipulation
arXiv:2607.01051v1 Announce Type: new Abstract: Different stages of manipulation tasks exhibit varying levels of difficulty, suggesting stage-dependent motion s…
FurnitureVLA: Learning Long-Horizon Bimanual Furniture Assembly with Vision-Language-Action Model
arXiv:2607.01212v1 Announce Type: new Abstract: Current work on robot furniture assembly mostly focuses on toy-scale settings or single-arm manipulation. We int…
From World Models to World Action Models: A Concise Tutorial for Robotics
arXiv:2607.00836v1 Announce Type: new Abstract: World models are increasingly used in embodied intelligence and generative simulation, yet their scope remains a…
[Preprint] Dynamic Modeling, Gait Synthesis, and Control of a Novel Subsurface Bore Propagator
arXiv:2607.00569v1 Announce Type: new Abstract: In this article, we present dynamic modeling, gait synthesis, and feedback control design for a modular novel su…
Robust Operational Space Control with Conformal Disturbance Bounds for Safe Redundant Manipulation
arXiv:2607.00424v1 Announce Type: new Abstract: Redundant robotic manipulators operating in constrained and human-interactive environments require accurate task…
Enhancing Hardware Fault Tolerance in Machines with Reinforcement Learning Policy Gradient Algorithms
arXiv:2407.15283v2 Announce Type: replace-cross Abstract: Industry is moving toward autonomous, network-connected machines that detect and adapt to changing con…
From Prediction Uncertainty to Conformalized Distance Fields for Safe Motion Planning
arXiv:2607.00776v1 Announce Type: new Abstract: Safe motion planning in dynamic environments requires reasoning about the uncertainty in predicted obstacle moti…
Planning over MAPF Agent Dependencies via Multi-Dependency PIBT
arXiv:2603.23405v2 Announce Type: replace-cross Abstract: Modern Multi-Agent Path Finding (MAPF) algorithms must plan for hundreds to thousands of agents in con…
Beyond Line of Sight: Hybrid Validation of V2X Collective Perception in Complex Scenarios
arXiv:2607.00874v1 Announce Type: new Abstract: This paper introduces a probabilistic framework and hybrid validation methodology for V2X-enabled Collective Per…
KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills
arXiv:2506.12851v3 Announce Type: replace Abstract: Humanoid robots are promising to acquire various skills by imitating human behaviors. However, existing algo…
Learning Expert Strategy for Autonomous Robotic Endovascular Intervention via Decoupled Procedural Execution
arXiv:2607.00066v1 Announce Type: new Abstract: Endovascular interventions are high-stakes procedures requiring precise device operation within complex and tort…
Neural Surface and Reflectance Modelling from 3D Radar Data
arXiv:2603.25623v2 Announce Type: replace Abstract: Robust scene representation is essential for autonomous systems to safely operate in challenging low-visibil…
ROSA: A Robotics Foundation Model Serving System for Robot Factories
arXiv:2607.01088v1 Announce Type: new Abstract: Robotics foundation models (RFMs) are making general-purpose robots increasingly practical for factory deploymen…
Search-Based Spatiotemporal and Multi-Robot Motion Planning on Graphs of Space-Time Convex Sets
arXiv:2607.00444v1 Announce Type: new Abstract: Spatiotemporal motion planning, especially in multi-robot settings, requires robots to reason about collision-fr…