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 45
OpenTac: An Open Ecosystem for Customizable, Scalable, and Transferable 3D Tactile Sensing
We present OpenTac, a novel sensor and a full-stack ecosystem for tactile skins that are highly customizable, scalable, and readily deployed in downstream robot control and learning applications.Sensorimotor Alignment: A Platonic Proxy for Embodied Policy Success
Robot foundation models are typically evaluated through costly closed-loop rollouts, motivating low-cost offline proxies for model capability.Does LeWorldModel Preserve Local Action Geometry?
We examine how closely pretrained LeWorldModel (LeWM) reproduces the effects of small action changes.See What I Need, Dream What I Want: A Navigation Foundation Model on a Self-Constructed Representation Space
What visual representation should a navigation policy act on?FLORA: An Open Model Suite for Scaling Robotics Data Engines
The life-cycle of robotics foundation models crucially depends on data labels.PnP*: A certifiable solver for Perspective-n-Point
Estimating a camera pose from 3D-2D correspondences - Perspective-n-Point - is one of the most fundamental problems in computer vision.KiRoSe: Using Kinematic Data for Efficient Segmentation of Robot Demonstrations
Segmenting robot demonstration data into disjoint temporal and semantic subsegments is valuable for learning, cleaning, retrieval, and analysis.StackGen3D: Stable 3D Block Stack Generation from Multiview Silhouettes
Generating physically stable 3D structures from visual specifications requires resolving geometric ambiguity while accounting for physical interactions among objects.PrefO2O: Zero-Shot Preference-Based Reinforcement Learning via Offline-to-Online Latent Preference Transfer
Preference-based reinforcement learning (PbRL) has emerged as a promising paradigm for learning robot behaviors aligned with human intent.SEVI: Safe Evidential Real-World Reinforcement Learning
Real-world reinforcement learning has enabled contact-rich manipulation tasks to be trained directly on physical robots, but unsafe interactions during online learning remain a key barrier to…WorldMirror: Agentic Real-to-Sim Generation of Interactive Worlds from In-the-Wild Robot Demonstrations
Existing approaches for robot learning in simulation often require substantial manual effort to construct scenes and specify tasks, limiting training scalability and data diversity.SAGE: A hybrid vision-language and geometry framework for work-zone pathway prediction under temporary traffic control
Temporary traffic control redirects vehicles through work zones, requiring automated vehicles to connect an interpretation of the visible devices to a continuous passing path.FORCA: A Force-Aware Coding Agent for Contact-Rich Robot Manipulation
Coding agents can translate language instructions into robot programs.EgoForesight: Effectively Scaling Policy Learning with Noisy Egocentric Actions
Scaling policy learning requires broad experience and reliable supervision.Multimodal MPC via Bayesian Set Optimization for Dynamic Manipulation of Deformable Linear Objects
Dynamic manipulation of deformable linear objects (DLOs) remains challenging due to underactuated, high-dimensional dynamics, delayed deformation responses, and the presence of multiple feasible…Full-Weight VLA Fine-Tuning Without an fp32 Master Copy Silently Erases Most Updates
When a vision-language-action (VLA) model is fine-tuned with its trainable weights in bfloat16 (bf16) and no fp32 master copy, AdamW writes each update straight into bf16, silently rounding away any…Emergent Cooperative Thermoregulation in Lunar Swarm Robotics
Swarms of small robots are an attractive way to survey lunar caves and lava tubes.Move, don't think: sample-efficient collision avoidance with lossy proximity sensors
Data-driven robots must learn to avoid collisions with as few demonstrations as possible to avoid collecting large datasets of destructive collision examples.Silence Is Not Assurance: When Production Lane Keeping Assist Does Not Warn, and What It Costs
Production lane keeping assist (LKA) systems tell the driver whether they detect the lane markings, but whether this displayed status reflects what the system perceives, and what happens when it…Distributed Swarm Morphogenesis with Neural Cellular Automata
Swarm morphogenesis requires robots to assemble desired shapes through local interactions.