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 storiesSelf-CriTeach: LLM Self-Teaching and Self-Critiquing for Improving Robotic Planning via Automated Domain Generation
arXiv:2509.21543v4 Announce Type: replace Abstract: Large Language Models (LLMs) have recently shown strong promise for robotic task planning, particularly thro…
RTFF: Random-to-Target Fabric Flattening Policy using Dual-Arm Manipulator
arXiv:2510.00814v2 Announce Type: replace Abstract: Robotic fabric manipulation remains challenging due to fabric deformability and occlusions from wrinkles and…
From Local Corrections to Generalized Skills: Improving Neuro-Symbolic Policies with MEMO
arXiv:2603.04560v2 Announce Type: replace Abstract: Recent works use a neuro-symbolic framework for general manipulation policies. The advantage of this framewo…
Decentralized Coordination of Autonomous Traffic Through Advanced Air Mobility Corridors
arXiv:2606.23832v1 Announce Type: cross Abstract: The use of dedicated corridors for Advanced Air Mobility (AAM) traffic is one of the most commonly proposed pa…
ObsGraph: Hierarchical Observation Representation for Embodied Reasoning and Exploration
arXiv:2606.24068v1 Announce Type: cross Abstract: Embodied reasoning and exploration are increasingly considered crucial abilities for robots operating in compl…
Prior Reinforce: Goal-Conditioned Dynamic Manipulation with Limited Trials
arXiv:2505.21916v3 Announce Type: replace Abstract: Embodied robots have achieved strong performance in many real-world manipulation tasks, yet agile dynamic ma…
World Value Models for Robotic Manipulation
arXiv:2606.24742v1 Announce Type: new Abstract: Generalist value models play a pivotal role in scaling robotic policy learning from large-scale, mixed-quality d…
ArtiTwinSplat: Interactable Digital Twin Reconstruction via Gaussian Splatting from RGB-D videos
arXiv:2606.24628v1 Announce Type: new Abstract: Deploying robots in unstructured real-world environments needs accurate, interactive models of the objects. Cons…
Enabling Robust Cloth Manipulation via Inference-Time Simulator-in-the-Loop Refinement
arXiv:2606.24552v1 Announce Type: new Abstract: Simulator-in-the-loop optimization offers a promising inference-time mechanism for robot manipulation. It uses a…
RE4: Transformation-aware Imitation of Object Interactions Using Manipulation Modes
arXiv:2606.24403v1 Announce Type: new Abstract: Object interaction tasks have been a focus of advances in imitation learning. End-to-end methods, dominated by d…
RoBoSR: Structured Scene Representations for Embodied Robotic Reasoning
arXiv:2606.24338v1 Announce Type: new Abstract: Despite rapid progress, embodied reasoning under real-world variability remains challenging. Existing approaches…
SPACE: Enabling Learning from Cross-Robot Data Toward Generalist Policies
arXiv:2606.24049v1 Announce Type: new Abstract: In robot learning, scaling training datasets across diverse embodiments and environments has become a dominant p…
TurboMPC: Fast, Scalable, and Differentiable Model Predictive Control on the GPU
arXiv:2606.24039v1 Announce Type: new Abstract: Robotics increasingly relies on GPUs for parallel simulation, large-scale learning, and neural-network inference…
Engineering Reliable Autonomous Systems: Challenges and Solutions
arXiv:2606.23760v1 Announce Type: new Abstract: Engineering reliable autonomous systems is an important and growing topic in computer science. As autonomous sys…
Verifiable Foundation Models for Robot Safety
arXiv:2606.23754v1 Announce Type: new Abstract: Deploying foundation models for robot control raises a central challenge: the expressive power that enables rich…
Topological Online Learning for Displacement-based Formation Control
arXiv:2606.23901v1 Announce Type: new Abstract: This paper addresses the problem of robust formation control by introducing Topological Online Learning for Disp…
MinInter: Minimizing Trajectory Interpolation During Data Augmentation for Imitation Learning
arXiv:2606.24078v1 Announce Type: new Abstract: Imitation learning enables robots to acquire complex manipulation skills from demonstrations, but its effectiven…
NavWM: A Unified Navigation World Model for Foresight-Driven Planning
arXiv:2606.24101v1 Announce Type: new Abstract: Conventional visual navigation policies often struggle with myopic decision-making and mode collapse in complex …
Importance of Intent-Sharing for V2X-based Maneuver Coordination
arXiv:2606.24203v1 Announce Type: cross Abstract: This paper examines the critical role of intent-sharing in enabling effective maneuver coordination for connec…
Parallel Dynamic Programming for Conic Linear Quadratic Control
arXiv:2606.24632v1 Announce Type: cross Abstract: Linear Quadratic (LQ) control problems are at the heart of linear control theory and Model Predictive Control …
Compact Object-Level Representations with Open-Vocabulary Understanding for Indoor Visual Relocalization
arXiv:2606.24767v1 Announce Type: cross Abstract: Indoor visual relocalization plays a critical role in emerging spatial and embodied AI applications. However, …
InSight: Self-Guided Skill Acquisition via Steerable VLAs
arXiv:2606.24884v1 Announce Type: new Abstract: Vision-language-action (VLA) models can learn manipulation skills from demonstrations, but their capabilities ar…
Cobot’s Proxie Gen 2 robot adds autotasking, mobile manipulation
Cobot founder and CEO Brad Porter said Proxie Gen 2 can determine when materials are ready to move, identify destinations, and create tasks without human interv…
Playful Agentic Robot Learning
arXiv:2606.19419v1 Announce Type: new Abstract: Current agentic robot systems can write executable Code-as-Policy programs, observe feedback, and revise behavio…
3D Scene Graphs: Open Challenges and Future Directions
arXiv:2606.19383v1 Announce Type: new Abstract: 3D Scene Graphs (3DSGs) have emerged as a powerful representation for spatial AI by combining geometric groundin…
Temporal Self-Imitation Learning
arXiv:2606.19752v1 Announce Type: new Abstract: Long-horizon robot manipulation policies trained with reward shaping can still exploit dense rewards through ine…
Physical Atari: A Robust and Accessible Platform for Real-time Reinforcement Learning on Robots
arXiv:2606.19357v1 Announce Type: new Abstract: We built a robot called the Robotroller that actuates an Atari CX40+ controller and a device called the Atari De…
Efficiently Linking Real Scenes with Synthetic Data Generation for AI-based Cognitive Robotics and Computer Vision Applications
arXiv:2606.20272v1 Announce Type: new Abstract: AI vision models are a driving factor for the potential use case scenarios of cognitive robotics within in the i…
Dual-Agent Framework for Cross-Model Verified Translation of Natural-Language Protocols into Robotic Laboratory Platform
arXiv:2606.20120v1 Announce Type: new Abstract: Biological experiment protocols are written in natural language, whereas automation systems rely on predefined c…
Frequency-Aware Flow Matching for Continuous and Consistent Robotic Action Generation
arXiv:2606.20135v1 Announce Type: new Abstract: Flow matching has emerged as a standard paradigm for robotic manipulation owing to its strong expressive power f…