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 storiesSelf-Adaptive Learning and Model Predictive Control for Tracking Unknown Dynamics with No Regret
arXiv:2607.26370v1 Announce Type: new Abstract: We propose a self-adaptive online learning for control method for tracking unknown target dynamics. The target d…
Embodied Agents Take Control: Minimal-Interface Zero-Shot Agents Rival Industrial-Scale Policies in Vision-and-Language Navigation
arXiv:2607.26148v1 Announce Type: new Abstract: Autonomous embodied agents must sustain a long decision-making loop that involves perceiving, acting, verifying,…
GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning
arXiv:2509.11594v3 Announce Type: replace Abstract: GBPP is a fast learning based scorer that selects a robot base pose for grasping from a single RGB-D snapsho…
PolygMap: A Perceptive Locomotion Framework for Humanoid Robot Stair Climbing
arXiv:2510.12346v2 Announce Type: replace Abstract: Recently, biped robot walking technology has been significantly developed, mainly in the context of a bland …
What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations
arXiv:2607.27017v1 Announce Type: cross Abstract: A central premise of latent world models is that predicting the future forces a representation to internalize …
FleetScape: A Mixed Reality Sandtable for Spatial Supervision and Control of Scalable Drone Fleets
arXiv:2607.26423v1 Announce Type: cross Abstract: As autonomous drone deployments scale from individual units to coordinated swarms, the human operator's role s…
Semi-Decentralized Multi-Spacecraft Collision Avoidance under Communication Constraints
arXiv:2607.26570v1 Announce Type: new Abstract: Current spacecraft collision-avoidance operations rely on intermittent ground-station contacts, requiring operat…
Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy
arXiv:2607.26279v1 Announce Type: new Abstract: Collaborative robots are well-suited to maritime missions that benefit from coordination, such as the exploratio…
DLAM: Distributional Latent Actions with Temporal Constraints
arXiv:2607.27138v1 Announce Type: new Abstract: Vision-language-action (VLA) models remain constrained by scarce action-labeled robot data, whereas action-free …
Explicit Kinematic Guidance from Analytic Concepts for Vision-Language-Action Models
arXiv:2607.26513v1 Announce Type: new Abstract: Current Vision-Language-Action (VLA) models rely mainly on 2D inputs, neglecting the rich object structural info…
NeoRacer: An Open, Standardized 1:12 Scale Autonomous Race Car for Benchmarking and Education
arXiv:2607.26855v1 Announce Type: new Abstract: Many scientific fields rely on standard benchmarks and shared platforms to improve review and reproducibility, b…
Visibility-Aware Cooperative Tracking with Decentralized LiDAR-Based Aerial Swarms
arXiv:2512.01280v2 Announce Type: replace Abstract: Autonomous aerial tracking with drones offers vast potential for surveillance, cinematography, and industria…
LLM-Grounded Dynamic Task Planning with Hierarchical Temporal Logic for Human-Aware Multi-Robot Handover
arXiv:2602.09472v2 Announce Type: replace Abstract: Large Language Models (LLMs) enable non-experts to specify open-world multi-robot tasks, but the generated p…
Reinforcement Learning on Cost-Constrained Quadrupedal Hardware
arXiv:2607.26434v1 Announce Type: new Abstract: Deploying learned control policies on low-cost robotic platforms introduces transport latencies and noisy motor …
Surviving the paper deluge: a one-year study in learning from demonstration
With the explosion of robotics research, staying current in fields like Learning from Demonstration (LfD) is a monumental challenge. Is AI the solution to the “…
Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks
arXiv:2607.25989v1 Announce Type: cross Abstract: The vision of self-driving networks that monitor, reason, and act upon themselves with minimal human intervent…
Motion Generation With Environmental Constraints
arXiv:2607.25053v1 Announce Type: new Abstract: Robot motion planning faces challenges in high-dimensional spaces and uncertain environments, often constrained …
Can Vision-Language-Action Models Learn from Real-World Data Continually without Forgetting?
arXiv:2605.26820v2 Announce Type: replace Abstract: Vision-Language-Action (VLA) models provide a promising foundation for general-purpose robotics, yet their r…
Leveraging Semantic Maps for City-Scale Cross-View Localization
arXiv:2607.25215v1 Announce Type: new Abstract: We want robots to localize in previously untraversed environments against commonly available prior data. Rich se…
RoboMME-Interference: Benchmarking Robot Memory Under Interference
arXiv:2606.22338v2 Announce Type: replace Abstract: Robots deployed in realistic settings will accumulate experience across many sessions and tasks over their d…
Coverage Path Planning for Holonomic UAVs via Uniaxial-Feasible, Gap-Severity Guided Decomposition
arXiv:2505.08060v3 Announce Type: replace Abstract: Modern coverage path planning (CPP) for holonomic UAVs in emergency response must contend with diverse envir…
Dataset Poisoning Attacks on Behavioral Cloning Policies
arXiv:2511.20992v2 Announce Type: replace-cross Abstract: Behavior Cloning (BC) is a popular framework for training sequential decision policies from expert dem…
Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning
arXiv:2607.25754v1 Announce Type: new Abstract: Cooperative navigation of multi-agent UAVs in complex environments faces key challenges including local optima t…
Critical slowing down for predicting controller induced loss of control in quadrotors
arXiv:2607.25370v1 Announce Type: cross Abstract: We develop a novel forecasting scheme to anticipate controller induced loss of control (LOC) in quadrotors and…
Room-Mediated Co-occurrence for Zero-Shot Object-Centric Semantic Navigation via Frontier Scoring
arXiv:2607.25448v1 Announce Type: new Abstract: Zero-shot ObjectNav methods increasingly use vision-language priors, but direct object-object similarity in the …
Decentralized Scalable Exploration via Emergent Adaptive L\'evy Walks on Minimal-Sensing Platforms
arXiv:2607.25195v1 Announce Type: new Abstract: Efficient autonomous exploration with palm-sized nano-UAVs remains challenging due to severe limitations in sens…
Reactive 3D Motion Planning for a Franka Arm via Star-World Workspace Reshaping
arXiv:2607.25138v1 Announce Type: new Abstract: Safety inflation can cause nearby obstacles to overlap, violating the disjoint-obstacle assumptions used by many…
Calibrated Partial Resets: Preventing Policy Collapse in Continual Reinforcement Learning
arXiv:2607.24996v1 Announce Type: cross Abstract: Neural networks are hindered by accumulating dormant neurons and loss of expressivity throughout training, par…
Motion-Acceleration Calibration and Compensation in IMUs without External Equipment for Attitude Estimation Filters
arXiv:2607.25784v1 Announce Type: new Abstract: Attitude estimation based on inertial sensing requires measurements of local angular velocities and local gravit…
Egocentric Station Holding of Robotic Fish in Unknown Turbulent Background Flow
arXiv:2607.24860v1 Announce Type: new Abstract: Approaching a target position and holding station in flowing water is a fundamental and critical capability for …