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
2826 storiesOccluding the Solution Space: Planner-Agnostic Adversarial Attacks on Tolerance-Aware Manipulation
arXiv:2607.03758v1 Announce Type: new Abstract: Adversarial attacks on motion planning are crucial for evaluating and quantifying the intrinsic robustness of ro…
Strouhal-Aware Model Predictive Control for Efficient Multi-Fin Flapping Locomotion
arXiv:2607.03216v1 Announce Type: new Abstract: Efficient flapping propulsion hinges on operating within a narrow Strouhal number window, a principle nature has…
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models
arXiv:2409.16663v5 Announce Type: replace Abstract: We propose the use of latent space generative world models to address the covariate shift problem in autonom…
Integrated Graph Search and Model Predictive Control for Smooth and Efficient Path Planning in Autonomous Vehicles
arXiv:2607.04259v1 Announce Type: new Abstract: Path planning is a fundamental component of autonomous vehicles, where achieving safe, comfortable, and dynamica…
CoorGrasp: Coordinated Contact Control for Adaptive Dexterous Grasping Under Uncertainty
arXiv:2607.03557v1 Announce Type: new Abstract: While recent research has focused heavily on dexterous grasp pose generation, less attention has been devoted to…
OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies
arXiv:2607.03723v1 Announce Type: new Abstract: Visual policies learned from human videos, teleoperation, and robot demonstrations offer scalable motion priors,…
Adaptive Entropy-Driven Sensor Selection in a Camera-LiDAR Particle Filter for Single-Vessel Tracking
arXiv:2603.08457v2 Announce Type: replace Abstract: Robust single-vessel tracking from fixed coastal platforms is hindered by modality-specific degradations: ca…
LLM-as-a-Verifier: A General-Purpose Verification Framework
arXiv:2607.05391v1 Announce Type: cross Abstract: Scaling pre-training, post-training, and test-time compute have become the central paradigms for improving the…
Hope for the Best, Prepare for the Worst: Occlusion-Aware Contingency Planning for Autonomous Vehicles
arXiv:2607.03155v1 Announce Type: new Abstract: The deployment of autonomous vehicles in urban environments introduces significant safety challenges, particular…
Scalable Dexterous Robot Learning with AR-based Remote Human-Robot Interactions
arXiv:2602.07341v2 Announce Type: replace-cross Abstract: This paper focuses on the scalable robot learning for manipulation in the dexterous robot arm-hand sys…
TiROD: Tiny Robotics Dataset and Benchmark for Continual Object Detection
arXiv:2409.16215v4 Announce Type: replace Abstract: Detecting objects with visual sensors is crucial for numerous mobile robotics applications, from autonomous …
WinTA-GIL: Windowed Trajectory Alignment for GNSS-IMU-LiDAR Heading Refinement in Intermittent Signal Environments
arXiv:2607.04879v1 Announce Type: new Abstract: Although multi-source fusion positioning systems have achieved significant progress, accurate and reliable headi…
Derivations of Error-State Kalman Filter Kinematics for Globally Applicable Aided Inertial Navigation Systems
arXiv:2607.03211v1 Announce Type: new Abstract: Global navigation systems require state estimation algorithms that handle Earth's curvature, Earth's rotation, a…
LH-AVLN: A Benchmark for Long-Horizon Audio-Visual-Language Navigation
arXiv:2607.03920v1 Announce Type: new Abstract: Embodied navigation is moving toward long-horizon missions, yet existing long-horizon benchmarks are largely aco…
InternVLA-A1.5: Unifying Understanding, Latent Foresight, and Action for Compositional Generalization
arXiv:2607.04988v1 Announce Type: new Abstract: Unified models for robot manipulation aim to equip one policy with both the semantic priors of pretrained VLMs a…
Feeling the Unexpected: ResTacVLA for Contact-Rich Manipulation via Residual Tactile Representation
arXiv:2607.03387v1 Announce Type: new Abstract: Tactile perception is indispensable for contact-rich manipulation, yet integrating it into Vision-Language-Actio…
StageCraft: Execution Aware Mitigation of Distractor and Obstruction Failures in VLA Models
arXiv:2603.20659v2 Announce Type: replace Abstract: Large scale pre-training on text and image data along with diverse robot demonstrations has helped Vision La…
Closing the Reality Gap: Zero-Shot Sim-to-Real Deployment for Dexterous Force-Based Grasping and Manipulation
arXiv:2607.04940v1 Announce Type: new Abstract: Human-like dexterous hands with multiple fingers offer human-level manipulation capabilities but remain difficul…
U-Joint CAAMS: Experimental Evaluation of a Universal-Joint Continuum Manipulator for Aerial Manipulation
arXiv:2607.03321v1 Announce Type: new Abstract: Continuum manipulators mounted on multi-rotor UAVs enable compliant aerial manipulation, but payloads and propel…
DynaWM: A Base-VLA-Guided World Foundation Model for Moving-Object Manipulation
arXiv:2607.02604v1 Announce Type: cross Abstract: Although vision-language-action (VLA) models have received widespread attention, many challenges remain in man…
!Imperio, smolVLA: The Implications of Data Poisoning on Open Source Robotics
arXiv:2607.04146v1 Announce Type: new Abstract: This work establishes that trigger-word data poisoning of vision language action models is practical, while at t…
MOSAIC: Modular Scalable Autonomy for Intelligent Coordination of Heterogeneous Robotic Teams
arXiv:2601.23038v3 Announce Type: replace Abstract: Mobile robots have become indispensable for exploring hostile environments, such as in space or disaster rel…
MAD-PINN: A Decentralized Physics-Informed Machine Learning Framework for Safe and Optimal Multi-Agent Control
arXiv:2509.23960v2 Announce Type: replace Abstract: Co-optimizing safety and performance in large-scale multi-agent systems remains a fundamental challenge. Exi…
GelNeuro: A Sensing-Computing Integrated Neuromorphic Tactile System for Texture Recognition
arXiv:2607.05241v1 Announce Type: new Abstract: Neuromorphic visuo-tactile sensing offers a promising paradigm for low-latency and low-power robotic perception.…
Training Verifiably Robust Agents Using Set-Based Reinforcement Learning
arXiv:2408.09112v2 Announce Type: replace-cross Abstract: Reinforcement learning policies parametrized by deep neural networks have achieved strong performance …
Neural LiDAR Bundle Adjustment
arXiv:2607.04169v1 Announce Type: new Abstract: Recent research has achieved remarkable novel view rendering and scene reconstruction results with Neural Radian…
HALO-WA: Hybrid-Attention Latent-Guided Online Reinforcement Learning for World-Action Models
arXiv:2607.04265v1 Announce Type: new Abstract: World-action (WA) models can generate long-horizon action chunks for general-purpose robotic manipulation, but t…
Compressing the Validation Bottleneck: An Agentic Self-Driving Lab for Scientific Discovery
arXiv:2607.04508v1 Announce Type: cross Abstract: Agentic AI-for-Science can automate ideation, planning, and analysis, but final validation still depends on re…
$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills
arXiv:2604.24182v2 Announce Type: replace Abstract: Current Vision-Language-Action (VLA) models predominantly rely on end-to-end fine-tuning. While effective, t…
Sample-Efficient Pareto Front Modeling for Energy-Aware Reinforcement Learning Using Bayesian Optimization
arXiv:2607.03140v1 Announce Type: cross Abstract: Industrial automation increasingly demands control strategies that balance operational performance with strict…