Applied & Human-Centered · Computer Science & AI
Robotics
The newest papers in Robotics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
4,418 papers, from 4 September 2026 to 5 November 2026: 4,418 arXiv preprints.
Get the few papers worth your time in Robotics every morning.
Follow Robotics and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 72
TacClaw-Infinity: A Large-Scale Vision-Tactile-Language-Action Dataset for Dexterous Manipulation
Large-scale robot learning increasingly relies on diverse human demonstrations, yet tactile manipulation data remain difficult to scale, and existing multimodal datasets often lack consistent…VIGOR-MPC: Vision-Guided Objective Regulation MPC
Controlling an agent in an environment solely perceived through onboard vision is challenging: perception yields noisy, variable-length, and partially occluded context, while onboard compute is…AutoRSR: Automated Real-to-Sim-to-Real Data Generation for Scalable Robot Learning
Scaling embodied robot learning requires large and diverse manipulation datasets, but collecting real-world demonstrations remains expensive in human effort and robot time.Human Demonstrations as Post-Training Data for Any Robot Body: Retargeting the Object, Not the Hand
Human demonstrations are today used largely for pretraining vision-language-action models, with little ability to use the same data for target-embodiment or task-oriented training, which scalable…When Do Discrete Actions Make Good Continuous Controllers?
Though modern AI models like LLMs predict discrete tokens, today's robotic foundation models represent actions as continuous vectors.Towards Agentic Robots: Model, Data, Environment, and Harness
Foundation models are driving a paradigm shift in robotic intelligence, moving beyond low-level action prediction to goal-directed orchestration of data collection, model training, task planning…DD-GBP: Anytime Multi-Arm Planning and Continuous Execution via Distributed Dynamic Gaussian Belief Propagation
Safely executing long-horizon multi-arm tasks online in complex dynamic environments remains challenging.AdaRSI: On-Demand Recursive Self-Improvement for Embodied Agents
Pretrained vision-language-action models (VLAs) often fail midway through unseen long-horizon tasks.Tiered-Resolution Volumetric Mapping for Real-Time Simultaneous Planning and Mapping on Natural Outdoor Environments
Real-time volumetric mapping for a planning robot is dominated by the cost of integrating and storing information at the finest resolution, yet only a small fraction of any map ever lies on or near…Towards Certifiable State Estimation under Observability Degeneracy
Certifiable optimization provides global optimality guarantees for non-convex state estimation in robotics.Graph-Reweighted Behavior Cloning with Human Interventions for Precise Robotic Manipulation
Long-horizon precise manipulation produces mixed-quality data for post-training vision-language-action (VLA) models: even successful demonstrations and intervention-assisted rollouts may contain…Physical Time as a Missing Dimension of Robot Policy Memory Dynamics
Existing robot policy memories typically evolve with observation sequences, implicitly treating each update as the same amount of physical time.EarlyCommit: Calibrated Word-by-Word Commitment for Robots Acting Before You Finish Speaking
Human listeners can often identify the intended object several words before an instruction ends.KinoGen: Customizable Humanoid Loco-Manipulation References via Kinematically Grounded Video Generation
We present KinoGen, a framework that synthesizes customizable humanoid loco-manipulation references through kinematically grounded video generation.PingpongDuo: Agile Humanoid Table Tennis Doubles with Safe Team Coordination
Unlike singles, humanoid table tennis doubles requires teammates to strike in strict alternation while sharing a confined workspace.CoWear: Towards Collaborative Wearable Inertial Localization with Multiple Smart Devices
Consumer smart devices observe the same human motion from different body locations, yet existing inertial-localization benchmarks rarely provide synchronized heterogeneous wearables with…Modeling and Understanding Neural Weights of Humanoid Policies with Diffusion
Recent advances in robot learning have driven rapid progress in humanoid control, enabling increasingly agile behaviors in the real world.Hierarchical Residual Policy Learning for Real-World Mobile Manipulation with Sparse Human Guidance
Mobile Manipulation (MoMa) is a cornerstone of autonomous robotic systems, yet real-world fine-tuning remains a formidable challenge because of high-dimensional action spaces and intricate coupling…SafeDriveVLA: Navigation-Conditioned World Model Dreaming for Conflict-Aware End-to-End Autonomous Driving
Vision-Language-Action (VLA) models are gaining attention in autonomous driving, inheriting commonsense priors from large language models (LLMs) and widening the navigation interface from a fixed…Causal Analysis of Robot Foundation Models Enables Efficiency Gains
Vision-language-action (VLA) models are a promising approach to general purpose robot manipulation.