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 147
Design and Validation of an Antagonistic Tendon-Driven Dexterous Robotic Hand with Bidirectional Operation
Dexterous robotic hands typically reproduce human hand morphology but inherit its one-sided grasping workspace, requiring wrist or arm reorientation to grasp from the opposite side.Action Chunking Proximal Policy Optimization with Feedback Correction
Action chunking provides temporal abstraction in reinforcement learning by selecting short action sequences instead of individual actions, but many existing approaches face two limitations in…Bilinear World Models: Learning Representations with Structured Dynamics for Efficient Control
World models jointly learn latent representations and dynamics that predict how high-dimensional observations evolve under actions.ATLAS: Aligned Transport of Latent Structure for Reliable World Model Planning
Latent world models rely on representation geometry for planning, yet regularizing the latent marginal alone does not determine the state-to-state relationships used for action selection.StructRL: Online Structured Reinforcement Learning for Long-Horizon Vision-Language-Action Tasks
Vision-language-action (VLA) models perform well on shorter-horizon manipulation tasks but still struggle with long-horizon tasks that require multiple dependent manipulations from a single command.DORA: Divergence-Oriented Data-Relay Algorithm for Partially Connected Robot Teams
Teams of unmanned aerial vehicles (UAVs) deployed for search and monitoring missions frequently operate as partially connected networks, forcing each robot to trade off exploring the environment…SynIL: Leveraging Synergy for Offline Imitation Learning from Imperfect Demonstration Datasets
Imitation learning enables robots to acquire complex skills directly from massive demonstration datasets, but its performance degrades severely when datasets are contaminated with suboptimal or…A Two-Echelon Covering Tour Vehicle Routing Problem with Drones for Post-Disaster Relief
We introduce the two-echelon covering tour vehicle routing problem (2E-CTVRP) for the distribution of relief supplies after a disaster.Is Online Interaction Necessary for Recovery? A Minimalist Approach to Robust Planning via Perturbation
Behavior cloning (BC) is vulnerable to covariate shift during closed-loop execution, where small prediction or execution errors can drive the robot toward states poorly covered by the demonstration…SwingRL: Adaptive Observation Reinforcement Learning with World-Model Prediction for Cable-Suspended Hoisting Control
Cable-suspended hoisting is widely used to move heavy or bulky payloads that cannot be handled conveniently by rigid pick-and-place systems, for example in crane-assisted construction.REALM: A Coarse-to-Fine Generative Framework for Embodied Reactive Listening
Generating responsive listener facial motion is an important task for embodied conversational AI.Humanoids for Robot-Assisted Surgery: Bimanual Base Placement and Tool-Mount Optimization via Capability Maps
Rapid advances in humanoid robotics have motivated growing interest in the application of humanoids for healthcare and clinical tasks.Query, Align, and Distill: Navigation-Aware Cross-Modal Interaction for Efficient Vision-and-Language Navigation
Recent large-scale Vision-and-Language Navigation (VLN) models deliver strong accuracy but remain costly to deploy due to their large parameter counts and computational requirements.Evolving Dexterous Robots from Scratch
Little is known about how to manually design agents capable of dexterous manipulation.VPTwin: Real-Sim-Real Video Prediction for Robotic Manipulation Planning
While action-conditioned video prediction provides an intuitive world model for robotics, purely data-driven predictors often suffer from compounding errors and physically implausible hallucinations…Train Together or Merge Later? Unifying VLA Experts via a Shared Action Interface
Co-training offers a straightforward way to build a multi-task vision-language-action (VLA) policy, but can fall short of the performance achieved by training each task independently.Multi-Modal Non-Prehensile Estimation of Physical Parameters via Press-and-Pull Tipping
Recovering physical properties of unknown objects through non-prehensile interaction is challenging because no single manipulation primitive reveals all relevant parameters.Beyond State-as-Action: Exploiting Command-State Discrepancy for Robot Imitation Learning
Constructing action targets from measured robot motion is an established approach in imitation learning.TimelyDAgger: Timing-Aware Expert Querying for VLA Policy Improvement
DAgger improves robot policies by aggregating expert supervision from states visited during policy execution.Beyond Tasks: A Vision for Reproducing an Animal-like Behavioral Substrate Using Modern Robot Learning Techniques
Recent advances in robot learning have produced increasingly capable embodied agents.