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 18
Vision-Language Models Are Joint Denoisers in Robotic Action Generation
Diffusion-based vision-language-action (VLA) models cascade pretrained vision-language models (VLMs) with diffusion action experts, but typically restrict the VLM to providing static conditioning.Differentiable Iterative Learning Control for Black-Box Position-Commanded Manipulators
High-accuracy repetitive tracking is challenging for position-commanded manipulators whose low-level controllers are inaccessible, while constrained model-based iterative learning control (ILC) can…Shades of Success: Evaluating Manipulation Quality from Object-Centric Constraints
As learned manipulation policies become increasingly capable of solving practical manipulation tasks, assessing how well a task is performed becomes a fundamental challenge.Programmable Droplets as Active Matter in a Reconfigurable Environment
Exploring systems that bridge the gap between non living and living matter requires a reconfigurable environment coupled to synthetic systems capable of autonomous motion, adaptive behaviour and…DriftingPlanner: Drifting Generative Models for One-Step Trajectory Planning in End-to-End Autonomous Driving
End-to-end planners decode the ego trajectory either by coordinate regression, which is fast but blends plausible maneuvers into one trajectory that may follow none of them, or by diffusion and flow…te-comp: A Complete MLIR Compiler Generating Self-Contained C Inference Engines for MCUs
Deploying deep learning on microcontrollers (MCUs) requires fitting both the model weights and runtime activations within tens to hundreds of kilobytes of SRAM and Flash.MotorSense: A Video-EMG Dataset of Motoric Representations for Action Understanding
Computer vision models learn hand action only from its visual consequences, without access to the underlying embodied motor signals.Mechanistic Interpretability for End-to-End Self-Driving
End-to-end (E2E) autonomous driving models achieve strong planning performance but remain largely opaque, limiting observability and trust.A Capability-Aware Backup-Recoverability Filter for Heterogeneous Multi-Robot Navigation
Safe navigation in heterogeneous multi-robot teams faces two coupled challenges: differences in robots' braking and turning capabilities limit how each robot can respond to an approaching neighbor…Capability-Conditioned Graph Control Barrier Functions for Zero-Shot Safe Navigation of Heterogeneous Mobile Robot Teams
Multi-robot systems are increasingly deployed as heterogeneous fleets with diverse kinematic and actuation capabilities.TinyAstral: Transferring Self-Evolving Harnesses to Tiny Generalist Manipulation Agents
Robot agents built on vision-language models depend on both the planner and its harness: the tools, feedback, memory, and recovery logic around it.CONSORT: Uncertainty-Constrained Multi-Robot Planning for Cooperative Localization in GPS-Denied Environments
Centralized multi-agent path planning with cooperative localization in GPS-denied environments is generally computationally intractable when formulated in full belief space due to tightly coupled…TRACE: Target-State Risk-Aligned Conditional Execution for Embodied Tracking
Embodied visual tracking requires a robot to follow a language-specified person under occlusion, look-alike distractors, and ambiguous instructions.Learning from Physical Experience:Context-Space Adaptation for Robotic Manipulation
Recent multimodal foundation models exhibit strong perception, reasoning, and in-context learning capabilities, but translating these capabilities into physical action remains challenging.Cross-Embodiment Motion Planning by Coupling Body-Agnostic World Model with Differentiable Ego-Dynamics
Motion planning in clutter is embodiment-specific: the feasible free space and reachable commands depend on each robot's geometry and dynamics.HIPC: Humanoid Iterative Planning and Control via Goal-Conditioned Motion Closure
Recent generative models are widely used to provide whole-body motion for humanoid tracking.HandMimicX: Learning Human-Like Dexterous Manipulation via an Object-Centric Policy from Egocentric Videos
Learning dexterous manipulation from human videos remains an open challenge, particularly in the context of transferring a single demonstration into a spatially generalizable robotic skill and…Joint-Health-Aware Reinforcement Learning for Robust Robot Control Under Actuator Degradation
Robots deployed in unstructured environments are susceptible to actuator-authority degradation, which reduces the effective control authority of individual actuators and can cause reinforcement…Geometry-Aware Humanoid Retargeting via Manifold ODEs
In this paper, we focus on interaction-preserving motion retargeting, which transfers human demonstrations to humanoids while maintaining spatial relationships with objects and terrain.CalibSwitch: Observation-Driven Camera-LiDAR Extrinsic Recovery and Selective Maintenance for Multimodal Perception
Camera--LiDAR perception on mobile robots and intelligent vehicles depends on reliable sensor geometry throughout deployment.