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 125
Beyond Leaderboard Scores: A Deployment-Focused Protocol for Interpretable Tracking Evaluation in Pedestrian-Centric Environments
Mobile robots operating among pedestrians need trajectories that become available quickly, remain spatially credible through missed observations, preserve identity, and fit within an embedded…ActiveWAM: Evidence-Aware Active Vision for World-Action Models
Active vision manipulation requires a policy to control both its camera and its end-effectors, yet camera motion determines which evidence remains visible within finite observation windows.Query-Conditioned Articulation Estimation from a Single Image
Enabling robots to estimate the kinematic parameters of articulated objects unlocks a wide range of capabilities for interaction and manipulation.World Motion Models: Flexible Sequence Modeling of SE(3) Trajectories
Equipping artificial agents with spatial intelligence requires a comprehensive generative prior over the dynamic 3D world.3DROID: A Renderable 3D Gaussian Dataset with Measured Per-Scene Reliability
Robot manipulation models primarily reason from 2D observations while acting in the 3D physical world.End-to-End Learning vs. Modular Architectures: Comparative Insights into Autonomous Driving Systems
Autonomous driving systems have become a central focus of intelligent transportation research, with End-to-End Learning and Modular Architectures offering two prominent design paradigms for their…Continuous Conditioning of VLAs with Augmenting EMG and Visual Task Descriptors
Vision-Language-Action (VLA) models rely strongly on language for describing task information, despite having multimodal inputs.Finite-Data Safety Informativity Under Dynamic Asymmetric Actuation
When the system model is not fully known, measurement error and limited excitation can leave several models consistent with the same finite data.FlashDexRetarget: Accelerating Dexterous Manipulation Data Generation through Multi-Motion Retargeting
Human hand-object demonstrations offer a reusable source of dexterous robot manipulation data, but transferring them across embodiments requires physically feasible retargeting.ChunkVLA-AM: Parallel Action Chunking for Vision-Language-Action Robot Control in Additive Manufacturing
Vision-language-action (VLA) models unify visual perception, language understanding, and action generation, offering new opportunities for automation in additive manufacturing (AM).LiteReality-Agent: An Agentic System for Interactable 3D Indoor Scene Reconstruction
We present LiteReality-Agent, an agentic system for reconstructing real indoor environments as realistic, articulated, and simulation-ready 3D scenes from RGB-D scans.Towards Physical Underwater Robotic Assistance for Scuba Diver Movement in Confined Spaces
Scuba divers are taught to control their depth to avoid rapid ascents and descents, which could result in serious injuries such as gas embolisms and barotrauma.Robot Learning on Discrete Surfaces: Theory and Applications
All the objects composing our world are enclosed within surfaces.CLoSeR: Closing the Loop for Long-Context Streaming Reconstruction
Feedforward foundation models have recently shown remarkable 3D reconstruction capabilities.Fewer Tokens, Better Action: GPT-6 Astra Robot Agents with 14% Higher Success Rate but 65% Fewer Tokens
Vision language model (VLM) agents can control robots through visual feedback and action primitives, but repeated model invocations and redundant observations incur substantial token overhead.TouchTherm: Building Multimodal Digital Twins of Objects for Tactile and Thermal Rendering
Robotic simulation and virtual reality increasingly require object assets that capture not only visual geometry but also the physical cues underlying tactile and thermal interaction.Training-Free Diffusion Planning with Analytical Local Scores
Path finding and multi-robot motion planning require trajectories that are smooth, goal-directed, and collision-free in environments with complex geometric constraints.BLT*: Informed Belief Localization Trees for Uncertainty-Aware Planning on Digital Twins
We present Informed Belief Localization Trees* (Informed BLT*), a sampling-based belief space planning (BSP) algorithm that scales to large outdoor digital twins with point-cloud observations.H-SPAR: Hydrodynamic-aware Simulation for Particle Transport and Autonomous Robots
Environmental robotic sampling requires considering the dual influence of water currents on robotic motion and particle transport.UniWAM: Unified World-Action Model
Vision-language-action models benefit from the understanding and reasoning capabilities of pretrained vision-language models, but action-only supervision provides limited grounding in world dynamics.