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.
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Newest papers, page 123
TOAST: Stochastic Robot Action Tokenization for Autoregressive Vision-Language-Action Models
Autoregressive Vision-Language-Action models often represent continuous robot actions as discrete token sequences, enabling action prediction with standard next-token objectives.Screw Attention: Rigid-Body Algebra Inside a Transformer
Learned manipulation policies rediscover from data the spatial relations that rigid-body mechanics supplies in closed form, which leaves them fragile to geometric change.eRLT: Efficient VLA Reinforcement Learning via Action-Relevant Token Routing
Vision-Language-Action (VLA) models provide strong behavioral priors for robotic manipulation, yet efficiently adapting them to downstream tasks remains challenging.In CEM, a World Model Is Also a Proposal Mechanism
The cross-entropy method (CEM) uses world-model scores to select action sequences and fit the distribution sampled in its next iteration.A Survey on End-to-End Autonomous Driving Training from the Perspectives of Data, Strategy, and Platform
Autonomous driving is a cornerstone technology for the future of intelligent transportation, where end-to-end learning has emerged as a transformative paradigm that directly maps multimodal sensory…ShowerFlex: Achieving Pseudo-Static Balancing in a Continuum Shower Hose
With the global population rapidly aging, maintaining independence in Activities of Daily Living (ADLs), particularly bathing or showering, has become a critical challenge.NarrativeFlow: Flow-Based Vision-Language-Action Model Using Robot Velocity Fields
We focus on language-conditioned flow-based manipulation, where robot flows (robot velocity fields) serve as embodiment-agnostic, motion-centric representations for leveraging data collected from…Divide-and-Remember: Recursive Action-Relevant Memory for Long-Horizon VLA Policies
Vision-language-action (VLA) models struggle on history-dependent manipulation tasks, where the current observation alone does not determine the action, and the policy needs a memory of the history.Closed-Loop Refinement and Execution for Learned Driving Planners
Learning-based driving planners are usually trained and evaluated in open loop against logged trajectories.The Effect of Gait Stability Based on Two Types of Impact Strategies for Two-Link Walking and Brachiating Robots
In this paper, we explore the impulsive dynamics common to single-joint, two-link models of walking and brachiating gaits with respect to slope and switching time.FutureWorlds: Learning Robotic World Models from Alternative Futures
Robotic world models predict action-conditioned future scenes, providing a foundation for understanding action outcomes.Online Planning for Sparse Ground Target Search from a High-Altitude UAV under Partial Observability
Unmanned aerial vehicles (UAVs) searching for ground targets from a high altitude face a unique challenge, particularly when the target is already within the field of view but effectively…quARtet Marker: A 3D-Printable Multi-Tag Fiducial for Robust Near-Frontal Pose Estimation
Robotic manipulation of labware is difficult when transparent or reflective objects must be identified and localized.WBAG: A Whole-Body and Attached-Geometry Safety Framework for Vision-Language-Action Manipulation
Vision-language-action (VLA) policies have demonstrated impressive capabilities in generalizable robotic manipulation, but their deployment in the real world remains challenging due to potential…OrbitTAMP: Grounding Language Models for Task and Motion Planning in Spacecraft Rendezvous
Spacecraft rendezvous and proximity operations (RPO) are currently planned through an expertise-intensive process in which engineers translate high-level operational intent into safe, dynamically…MASkillBlender: Decentralized Whole-Body Coordination for Multi-Humanoid Loco-Manipulation via Skill Blending
Coordinated multi-humanoid loco-manipulation is promising yet challenging due to high-dimensional whole-body control, decentralized decision making, and scalability.Extreme Length Generalization in a Compact Recurrent Architecture for One-Shot Exploration
Autonomous robots on one-shot missions run over horizons far longer than the trajectories seen during training, under a fixed onboard compute budget.PhysicsLENS: Diagnosing Physical Property Blindness in Video Generation Models
Reliable video world models could provide scalable predictive environments for robot learning, planning, and evaluation.Experience-Based Feasibility-Aware Generative Adversarial Imitation from Observation under Embodiment Mismatch
With the increasing use of robot-free demonstration interfaces that provide state trajectories without action labels, imitation from observation has become a promising approach for learning robot…Recova: Agent-Guided Failure Recovery for Autonomous Robotic Manipulation
Manipulation failures can leave scenes in states from which a task policy cannot recover.