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 storiesOverthink-Triggered Slowdown Attacks on LVLM-Based Robotic Systems
arXiv:2607.01518v1 Announce Type: cross Abstract: Large Vision-Language Models (LVLMs) have been increasingly integrated into robotic systems. However, these mo…
VT-WAM: Visual-Tactile World Action Model for Contact-Rich Manipulation
arXiv:2607.02503v1 Announce Type: new Abstract: Contact-rich manipulation requires policies to react to local deformation, pressure, slip, and friction, yet the…
A Stereo Visual SLAM System Using Object-Level Motion Estimation and Geometric Filtering Based on Cross Disparity
arXiv:2607.02005v1 Announce Type: new Abstract: This paper presents OCD SLAM, a dynamic stereo visual SLAM framework that extends ORB-SLAM2 by jointly addressin…
CoRe: Combined Rewards with Vision-Language Model Feedback for Preference-Aligned Reinforcement Learning
arXiv:2607.01721v1 Announce Type: new Abstract: Reward design remains a central challenge in reinforcement learning (RL). Hand-crafted rewards are often difficu…
NeoMap: Training-free Novel-View Synthesis from Single Images and Videos
arXiv:2607.01962v1 Announce Type: cross Abstract: We study the challenging problem of novel view video synthesis from single images or monocular videos. Existin…
Neuro-Symbolic Safety Guidance for Vision-Language-Action Models via Constrained Flow Matching
arXiv:2607.01378v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have demonstrated promising generalization capabilities across robotic manip…
The Moving Eye: Enhancing VLA Spatial Generalization via Hybrid Dynamic Data Collection
arXiv:2607.02322v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have shown remarkable promise in generalized robotic manipulation. However, …
VLA-Corrector: Lightweight Detect-and-Correct Inference for Adaptive Action Horizon
arXiv:2607.01804v1 Announce Type: new Abstract: Vision-Language-Action (VLA) foundation models have recently achieved strong progress in embodied intelligence. …
Lightweight Safe Reinforcement Learning for End-to-End UAV Navigation
arXiv:2607.01794v1 Announce Type: new Abstract: With the rapid development of autonomous aerial systems, Unmanned Aerial Vehicles (UAVs) are increasingly deploy…
See Silhouettes in Motion with Neuromorphic Vision
arXiv:2605.17984v2 Announce Type: replace-cross Abstract: Quasi-bimodal objects, such as text, road signs, and barcodes, play a basic yet vital role in daily vi…
HEFT: Heavy-Payload Full-size Humanoid Teleoperation with Privileged Motion Guidance and Windowed Payload Curriculum
arXiv:2607.02332v1 Announce Type: new Abstract: General motion tracking and teleoperation offer a promising path to scalable humanoid skill acquisition, yet mos…
Human Supervisor Workload Prediction: Lag Horizon Selection
arXiv:2505.15939v2 Announce Type: replace Abstract: Teleoperation systems must be aware of the human's workload during missions to maintain operator performance…
One Demonstration Is Enough for Real-World Robotic Reinforcement Learning
arXiv:2607.01651v1 Announce Type: new Abstract: Learning effective robot control policies on physical hardware is challenging due to costly data collection and …
Exact equivariance, kept through training, buys zero-shot generalisation across the symmetry group
arXiv:2606.03003v2 Announce Type: replace-cross Abstract: A latent world model built from an equivariant encoder and predictor inherits a provable symmetry of i…
Best Sources for Robotics Research Papers in 2026: arXiv, Conferences & Breakthroughs Explained
Image-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…