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 218
CASD: Chunk-Aligned Semantic Distillation for Multi-StageRobot Manipulation
An action chunk can span several stages of a manipulation task, yet a label for its first step describes only the current stage.SUN: Reaching for Novelty in Reinforcement Learning
Exploration in reinforcement learning (RL) remains a fundamental challenge.Learning to build covering structures with continuous adjustments
Robotic construction offers the potential to use materials more efficiently and create complex geometries, but current methods rely on rigid, high-precision plans that cannot accommodate the…BIFTA: Brain-Inspired Few-Shot Tactile Adaptation for Unknown Sensors
Advances in tactile sensing have made contact-rich perception possible, accelerating progress in robotic manipulation, material understanding, and embodied interaction.DCLP++: Learning to Navigate with Footprint Clearance and Relative Motion
We present DCLP++, a local navigation frameworkthat uses footprint clearance as the geometric basis for studying relative motion features in dynamic environments.FOCI Policy: Focus on Object-Centric Interactions for Relational Manipulation Policies
Object-centric manipulation policies improve generalization by modeling object motion instead of directly predicting robot actions.A Controlled Comparison of Manual and Teleoperated Intraocular Instrument Motion for an Input Device
Input devices for robotic microsurgery are frequently described as preserving the surgeon's trained technique, but the claim is rarely measured.Ostrich: Taking Large Strides Through Stiff Contact in Differentiable Dynamics
Three properties determine whether a differentiable simulator can drive gradient-based optimization through contact: simulation accuracy, gradient reliability, and per-iteration cost.Graph-Based Safe Reinforcement Learning for Multi-Agent Systems with Time-Varying Topology
This paper presents a graph-based safe multi-agent reinforcement learning (MARL) framework for cooperative navigation with time-varying topology.Real-time Puncture Detection and Recovery for Pneumatic Soft Actuators
Soft robots offer safe and adaptive interaction with humans and unstructured environments through their inherent ability to deform and comply.FIRE3D: Feed-forward Interactive 3D Scene Reconstruction Within A Minute
We present FIRE3D, a unified framework that takes a single RGB image or casual RGB video and transforms it into simulation-ready 3D scene assets for games and interactive applications in under a…CAST: Alternating State-Value Targets and Expanded Policy Gradients for Model-Based Reinforcement Learning
Model-based reinforcement learning (MBRL) is a family of RL methods that learn a model of the environment and use it for action selection, making it well suited to robotics due to its sample…FRAME: Factored Retrieval via Attribute Readouts for Object-Centric Scene Memory
Language-guided robots need persistent scene memories to follow instructions, revisit objects, and resolve references to objects encountered over time.Visible-Reachable Workspace for Perception-Aware Humanoid Design
Workspace analysis measures where a robot can place its end effector.Remotely Detectable Keyed Communication through Motion
Messages from electronic devices are conventionally received as text, audio, or radio signals.Model Predictive Control of Tensegrity Robots via Contact-Aware Graph Neural Dynamics Model
Tensegrity robots offer lightweight, compliant mobility over challenging terrain but remain difficult to model and control due to complex contact-rich dynamics and partial observability.PlannerForge: LLM Agents for Scenario-Based Testing of Motion Planners in Autonomous Driving
Ensuring the safety of autonomous driving is a critical challenge.Spheriverse: 3D Scene Understanding from Spherical Observations in the Wild
Spherical observations provide global visual context for 3D scene understanding.DYAD: A Multimodal Dataset of Co-Located Human Assistance
An embodied assistant working beside a person must track task state, recognize help seeking, choose how to intervene, and produce an appropriate response.A Distributed Consensus Particle Filter for Target Tracking using Autonomous Surface Vessels
Maritime target tracking over large distances often requires multi-agent teams without centralized coordination, and intermittent communication.