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Daily robotics industry news: humanoids, industrial automation, drones, autonomous systems and the companies building them.
Daily robotics industry news: humanoids, industrial automation, drones, autonomous systems and the companies building them.
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4147 storiesScalable Multi-Task Data Generation via Reinforcement Learning for Language-Conditioned Bimanual Dexterous Manipulation
arXiv:2606.22471v2 Announce Type: replace Abstract: A key bottleneck in training generalist policies for bimanual dexterous manipulation is the lack of large-sc…
STEAM: Self-Supervised Temporal Ensemble Advantage Modeling for Real-World Robot Learning
arXiv:2606.29834v1 Announce Type: new Abstract: Real-world robot learning increasingly relies on heterogeneous data, but demonstrations and rollouts often mix u…
An Operator-Based Approach to STL
arXiv:2605.28092v2 Announce Type: replace Abstract: Signal Temporal Logic (STL), has recently seen extensive development, owing to its rich expressivenes for au…
Analyzing Uncertainty in the Spatial Representation of the Kinematic Bicycle Model
arXiv:2606.29566v1 Announce Type: new Abstract: Locating a vehicle and determining its orientation in an uncertain environment is a critical challenge in autono…
VLK: Learning Humanoid Loco-Manipulation from Synthetic Interactions in Reconstructed Scenes
arXiv:2606.30645v1 Announce Type: new Abstract: Perception-based humanoid loco-manipulation requires connecting egocentric observations and task instructions to…
Hierarchical Policy Learning via Spectral Decomposition
arXiv:2606.29570v1 Announce Type: new Abstract: In this paper, we identify a semantic decomposition in robot action sequences, separating task-level motion inte…
CORE Planner: Contextual-memory Oriented Reinforcement-learning in Unknown Environments for Robot Navigation
arXiv:2606.29222v1 Announce Type: new Abstract: Autonomous navigation in unknown environments requires a robot to efficiently reach a predefined goal while expl…
Human2Any: Human-to-Robot Transfer via Constraint-Aware Compositional Planning
arXiv:2606.28813v1 Announce Type: new Abstract: Human videos are a scalable source of supervision for robot manipulation, as they are abundant and naturally cap…
Multi-Contact Force Estimation for Continuum Robots via Gaussian-Parameterized Factor Graphs
arXiv:2606.29165v1 Announce Type: new Abstract: Continuum robots offer key advantages in navigating unstructured environments, but their safe operation requires…
TacEvo: Self-Evolving Architecture Discovery for Robotic Tactile Perception via LLM-Driven Quality-Diversity Search
arXiv:2606.30109v1 Announce Type: new Abstract: Vision-based tactile sensing converts contact-induced surface deformation into images, enabling robots to infer …
Evolutionary Hyperparameter Optimization to Find Lightweight CNN Models for Autonomous Steering
arXiv:2606.29684v1 Announce Type: cross Abstract: This research investigates the optimization of Convolutional and Dense Neural Networks (CNNs and DNNs) for aut…
SIR: Structured Image Representations for Explainable Robot Learning
arXiv:2606.30101v1 Announce Type: new Abstract: Existing robot policies based on learned visual embeddings lack explicit structure and are sensitive to visual d…
A Query-Driven Communication-Efficient Digital Twins Design for Autonomous Driving
arXiv:2606.28384v1 Announce Type: new Abstract: Digital twins (DTs) have become a potential technology to perform risk-free simulation of physical entities for …
Normalizing Flow-Enhanced Message Passing for Multirobot Collaborative Localization
arXiv:2606.29868v1 Announce Type: new Abstract: Accurate, robust, and adaptive localization is essential for various robotic operations. This paper proposes a n…
Physics Models for Sim-to-Real Transfer in Professional-Level Robot Table Tennis
arXiv:2606.28805v1 Announce Type: new Abstract: At competitive speeds and spins, a table tennis ball follows complex, counterintuitive trajectories that a robot…
Legible Shared Autonomy: Implicit Communication of Robot Belief through Motion
arXiv:2606.29846v1 Announce Type: new Abstract: Shared autonomy systems combine user input with autonomous assistance to help users with motor impairments contr…
Can LLMs Prove Robotic Path Planning Optimality? A Benchmark for Research-Level Algorithm Verification
arXiv:2603.19464v2 Announce Type: replace Abstract: Robotic path planning problems are often NP-hard, and practical solutions typically rely on approximation al…
Chronos: A Physics-Informed Full-History Framework for Non-Markovian Long-Horizon Manipulation
arXiv:2606.30318v1 Announce Type: new Abstract: General-purpose robot policies should be modeled as dynamical systems, yet many VLA and generative imitation pol…
Real-time Rendering-based Surgical Instrument Tracking via Evolutionary Optimization
arXiv:2603.11404v3 Announce Type: replace Abstract: Accurate and efficient tracking of surgical instruments is fundamental for Robot-Assisted Minimally Invasive…
WARP: Whole-Body Retargeting for Learning from Offline Human Demonstrations
arXiv:2606.29940v1 Announce Type: new Abstract: Direct transfer from human demonstration to learnable robot action is a crucial step towards scalable whole-body…
Differentiable Physics-Informed Adaptive Koopman Control for Stable Flight under Unknown Disturbances
arXiv:2506.08319v2 Announce Type: replace-cross Abstract: Uncertainties and disturbances in robotic systems, such as aerodynamic forces, are fundamentally outco…
Towards Biosignals-Free Autonomous Prosthetic Hand Control via Imitation Learning
arXiv:2506.08795v2 Announce Type: replace Abstract: Limb loss affects millions globally, impairing physical function and reducing quality of life. Most traditio…
OGM-CBF: Occupancy Grid Map-based Control Barrier Function for Safe Mobile Robot Control with Memory of out of View Obstacles
arXiv:2405.10703v4 Announce Type: replace Abstract: Safe control in unknown environments is a key challenge in mobile robotics. Control Barrier Functions (CBFs)…
ConCent: Contact-Centric Real-to-Sim-to-Real Learning from One Demonstration
arXiv:2606.30268v1 Announce Type: new Abstract: Sim-to-real policy transfer -- deploying policies trained in simulation in the real world -- is a promising para…
Training Vision-Language-Action Models with Dense Embodied Chain-of-Thought Supervision
arXiv:2606.30552v1 Announce Type: new Abstract: Cross-embodiment transfer in vision-language-action (VLA) models remains challenging because low-level state and…
Grounding Sim-to-Real Generalization in Robotic Manipulation: An Empirical Study with Vision-Language-Action Models
arXiv:2603.22876v2 Announce Type: replace Abstract: Learning a generalist control policy for robotic manipulation typically relies on large-scale datasets. Give…
AERMANI-VLM: Structured Prompting and Reasoning for Aerial Manipulation with Vision Language Models
arXiv:2511.01472v2 Announce Type: replace Abstract: The rapid progress of vision--language models (VLMs) has sparked growing interest in robotic control, where …
Learning Transferable Dynamics Priors from Action to World Modeling
arXiv:2606.29501v1 Announce Type: new Abstract: We study action-conditioned world modeling as a scalable way to learn transferable dynamics priors for robot lea…
Learning to Balance Motor Thermal Safety and Quadrupedal Locomotion Performance with Residual Policy
arXiv:2605.27046v2 Announce Type: replace Abstract: Motor thermal management is often overlooked in the context of electrically-actuated robots, particularly le…
OpenSPM: An Environment-Transferable Robotic Key Spatial Pose Memory and Closed-Loop High-Frequency Flow-Matching Action Generation Model
arXiv:2606.29936v1 Announce Type: new Abstract: Open-environment tabletop robotic manipulation requires systems to possess semantic understanding, precise geome…