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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Learning Keypoint Constraints from Visual Demonstrations for Safe Motion Planning
We present Keypoint Constraint Learning (KCL), a framework for learning task-relevant motion constraints from visual demonstrations and for planning safely with the extracted constraints.PathLift: Depth-Conditioned Metric Lifting for Visual-Navigation Priors
Generalist visual-navigation policies tell a robot which direction to go but not how far.Constrained Differentiable Policy Learning for Safe Quadrotor Navigation
Differentiable simulation enables efficient policy optimization through analytic gradients, yet safety is commonly incorporated as a weighted penalty, requiring manual tuning of the trade-off…Directional Pullback Regularization for Long-Horizon Rollout of Latent World Models in Autonomous Driving
Learned world models for autonomous driving operate in unconstrained latent spaces, yet the physical systems they represent are governed by strict non-holonomic constraints: ground vehicles cannot…All-St3R SLAM: Real-time RGB Dynamic SLAM with Pixel-wise Motion Masking
SLAM (Simultaneous Localization and Mapping) is a core technology in autonomous systems that enables them to estimate their own position and build a map of unknown environments simultaneously.FlowVLA: Enabling World Dynamics Understanding through Pluggable 3D Flow Learning
Recent advances in 3D reconstruction enable the extraction of temporally consistent 3D motion from RGB observations; however, current Vision-Language-Action (VLA) models still predominantly rely on…Extending Wire-Driven Parallel Robots to Multi-Floating-Link Systems with an Inter-Body Wire
Parallel wire-driven systems are a framework in which multiple wires are connected to an end effector, and the end effector is driven by the tensions of those wires.One-Shot Learning for Double-Shot Latte Art: Adapting Cobot Pouring Skills with Dynamic Movement Primitives
Latte art is a complex task requiring dexterity and precision, making it a challenging and commercially relevant task.MSC: Multi-Stage Caster-aware Control Framework with Uncertainty-Aware NMPC and RL-based Execution Layer
Freely swiveling casters are widely adopted in industrial AMRs/SDVs for their mechanical simplicity and load capacity.Embodied Skill Bench: Benchmarking How Well Agents with Embodied Skills Perform on Physical Tasks
LLM agents increasingly control robots using VLA policies, perception models, and procedural knowledge.Same Goal, Different Words: Spatial Instruction Sensitivity in World-Action Models
World-action models should preserve the intended manipulation across equivalent descriptions of a spatial goal.Graph3R: Unifying View Graph Initialization with Feed-Forward Reconstruction
Feed-forward reconstruction recovers camera poses and dense geometry from image sets whose views are assumed to come from a single scene.ClothAtlas: Joint Garment Identification and State Estimation under Self-Occlusion
Garment manipulation requires inferring both garment identity and complete configuration from partial, self-occluded observations.PACE: Temporal-Role Tactile Conditioning for Chunk-Based Insertion Policies
Contact-rich insertion requires robots to combine visual alignment with tactile adjustment.ReAP: From Visual Failure Recognition to Action-Conditioned Risk Prediction for Runtime Failure Monitoring
Despite rapid progress, generalist robot policies remain brittle during execution.Listen Before Act: Audio-Conditioned Robot Manipulation with ListenVLA
Vision-language-action (VLA) models have advanced robotic manipulation by connecting visual perception and language instructions to action generation.Constraint-Decomposed Impedance Control from Generative Policy for Articulated Object Manipulation
Articulated object manipulation tasks such as opening doors, tightening bolts, and pulling drawers impose kinematic constraints on a robot end-effector's motion that neural policies may fail to…Imitation Learning of Avoidance Modes for Efficient Multimodal Model Predictive Control
Multimodal model predictive control (MM-MPC) avoids local minima among moving obstacles by solving one optimal control problem (OCP) per combination of avoidance sides, so its computational cost…Toward Study on the Effects of Robot's Humorous Apology on Human's Trust Recovery
Robot errors can disrupt human-robot collaboration by reducing user trust and willingness to rely on the robot.PINT: A Unified Model with Shared Predictive Intent for Robot Manipulation
Generalist robot manipulation can benefit from pretrained vision-language models (VLMs) for semantic reasoning and video generation models (VGMs) for world modeling.