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
2771 storiesGNN-DIP: Neural Corridor Selection for Decomposition-Based Motion Planning
arXiv:2603.12361v2 Announce Type: replace Abstract: Motion planning through narrow passages remains a core challenge: sampling-based planners rarely place sampl…
Autonomous UAV Route Planning for Coverage Maximization in Environmental Monitoring: A Systematic Literature Review
arXiv:2607.13054v1 Announce Type: new Abstract: Environmental monitoring with unmanned aerial vehicles (UAVs) requires route planning methods that maximize cove…
GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI
arXiv:2607.13059v1 Announce Type: new Abstract: Data-driven embodied AI is rapidly transitioning into a paradigm that scales training through massively parallel…
Attitude Estimation Using Inertial and Barometric Measurements
arXiv:2607.13254v1 Announce Type: new Abstract: Accurate and robust attitude estimation is a key challenge for autonomous vehicles, particularly in GNSS-denied …
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties
arXiv:2607.13698v1 Announce Type: new Abstract: In recent years, there has been growing interest in robust robotic systems for precise bin-picking applications.…
nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks
arXiv:2607.13704v1 Announce Type: new Abstract: The dominance of traditional rule-based methods in autonomous driving has gradually been replaced by learning-ba…
VAMP-MR: Vector-Accelerated Motion Planning and Execution for Multi-Robot-Arms
arXiv:2607.13478v1 Announce Type: new Abstract: Multi-robot-arm motion planning is a key challenge in deploying multiple manipulators for industrial tasks such …
Design and Control of the "QuadBoat": A Quadruped Surface Vehicle for Drowning Rescue
arXiv:2607.13633v1 Announce Type: new Abstract: Prompt extraction of victims from water is crucial in water surface rescue missions. However, previous research …
PhysClaw-0: A Symbiotic Agentic System for Robot Autonomy via Language Corrections
arXiv:2607.14047v1 Announce Type: new Abstract: Autonomous data collection governs the volume and quality of real-world trajectories for manipulation policy lea…
Improving Map Consistency in Graph-Based LiDAR SLAM Through Information-Aware Odometry and Retroactive Loop Closure
arXiv:2607.13516v1 Announce Type: new Abstract: High-quality maps are fundamental for robotics tasks such as navigation and planning. Although modern graph-base…
A 3DGS-Driven Dynamic Viewpoint and Vibrotactile Framework for Subsea Teleoperation Validated via fNIRS
arXiv:2607.13067v1 Announce Type: new Abstract: Teleoperating remotely operated vehicles (ROVs) in flooded, cluttered infrastructure is fundamentally limited by…
Tactile Modality Fusion for Vision-Language-Action Models
arXiv:2603.14604v2 Announce Type: replace Abstract: We propose TacFiLM, a lightweight modality-fusion approach that integrates visual-tactile signals into visio…
A Bayesian framework for the uncanny valley in humanoid robot design
arXiv:2607.13060v1 Announce Type: new Abstract: The uncanny valley is a long-standing empirical rule in humanoid robot design: making robots more human-like can…
Stress-Sharing: A Bio-Inspired Approach to Decentralized Fault Repair in Modular Spacecraft
arXiv:2607.13444v1 Announce Type: new Abstract: Structural damage in modular spacecraft can disrupt mechanical and communication connectivity, reducing system c…
M$^\text{4}$World: A Multi-view Multimodal Driving World Model for Interactive Object Manipulation and Minute-long Streaming
arXiv:2607.14005v1 Announce Type: cross Abstract: Driving-world generation has emerged as a core capability for scalable autonomous-driving simulation, yet exis…
Topology-Agnostic Mesh Reconstruction of Deformable Objects from Sparse Touch
arXiv:2607.13479v1 Announce Type: new Abstract: Estimating the full shape of a deformable object is especially challenging when vision is unavailable: in the da…
Ego-Dynamics-Augmented World Model for Autonomous Driving with Zero-Shot Cross-Chassis Adaptation
arXiv:2607.13410v1 Announce Type: new Abstract: World model (WM)-based reinforcement learning enables sample-efficient end-to-end autonomous driving learning by…
GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearch
arXiv:2607.13960v1 Announce Type: new Abstract: World Action Models (WAMs) improve robot policy learning by jointly modeling actions and future visual observati…
Recursive ArUco Markers: A Scalable Fiducial Marker Design for Unmanned Aerial Vehicle Landing Pads
arXiv:2607.13830v1 Announce Type: new Abstract: Unmanned Aerial Vehicles (UAVs) increasingly rely on visual fiducial markers for autonomous navigation and preci…
Reverse to Advance: Teleoperation-Cost Effective Hard Policy Learning from Reversed Easy Tasks
arXiv:2607.13455v1 Announce Type: new Abstract: High-quality teleoperation datasets are costly to collect, particularly for hard tasks. We observe that many tas…
Move-Then-Operate: Behavioral Phasing for Human-Like Robotic Manipulation
arXiv:2604.23620v2 Announce Type: replace Abstract: We present Move-Then-Operate, a Vision language action framework that explicitly decouples robotic manipulat…
OccTrack360: 4D Panoptic Occupancy Tracking from Surround-View Fisheye Cameras
arXiv:2603.08521v2 Announce Type: replace-cross Abstract: Understanding dynamic 3D environments in a spatially continuous and temporally consistent manner is fu…
Industrial Dexterity Benchmark: A Hardware-Software Benchmarking Platform for Industrial Dexterous Manipulation
arXiv:2607.14021v1 Announce Type: new Abstract: Dexterous manipulation remains a critical bottleneck in industrial automation; tasks such as cable routing, conn…
Learning Forward & Reverse Skills from a Single Unfinished Demonstration for Constrained Manipulation Tasks
arXiv:2607.13882v1 Announce Type: new Abstract: Learning from demonstration (LfD) enables robots to learn manipulation skills directly from expert demonstration…
Layered Risk Mapping for Autonomous Patient Transport in Expeditionary Medical Facilities
arXiv:2607.13497v1 Announce Type: new Abstract: In expeditionary medical facilities, routine patient transport imposes a compounding burden of personal protecti…
Learning Robust Execution in Robotic Manipulation with Agentic Reinforcement Learning
arXiv:2607.13818v1 Announce Type: new Abstract: Robotic manipulation poses fundamental challenges due to uncertainty, long-horizon execution, and compounding er…
A Hybrid Sampling-Based Trajectory Planner with Game-Theoretic Guidance for Autonomous Racing
arXiv:2607.13354v1 Announce Type: new Abstract: Autonomous racing demands planning algorithms that balance vehicle dynamics at the limits of handling with strat…
From Language to Navigation Goals: A Vision-Language Approach for Semantic Navigation of Mobile Robots Using RGB-D Perception
arXiv:2607.13624v1 Announce Type: new Abstract: Natural language interaction provides an intuitive way for non-expert users to communicate with robotic platform…
WAVE-Stereo: Warp-Aligned Volume Encoding for Stereo Matching
arXiv:2607.13674v1 Announce Type: cross Abstract: Existing iterative stereo matching methods primarily adopt two types of correspondence representation: explici…
Pretraining in Actor-Critic Reinforcement Learning for Locomotion
arXiv:2510.12363v4 Announce Type: replace Abstract: The pretraining-finetuning paradigm has facilitated numerous transformative advancements in artificial intel…