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 140
PneuTac: Tactile Manipulation with Soft Pneumatic Robots via Unified MPM-Gaussian Splatting Simulation
Soft robots and tactile sensors have demonstrated great potential in delicate manipulation tasks.A Reachability-based Safety Certificate for Dynamical System Motion Policies
Dynamical Systems (DS) are reactive motion policies representing vector fields trained with theoretical guarantees of stability and convergence.Embodiment-aware control by inference over the operator: a simulation study
Teleoperation systems are tuned for channel fidelity, while whether the operator experiences the device as part of the body, the Sense of Embodiment (SoE), is measured only afterwards, by…BIND: Binding 3D Robot Actions to 2D Image Features
We introduce BIND, a new action representation for visuomotor robot policies that binds 3D robot actions to their corresponding 2D image features, yielding strong data efficiency gains and…Observability Analysis and Online Calibration of Visual-Inertial-Wheel Odometry for 4WIS4WID Mobile Robots
In this paper, we present a visual-inertial-wheel odometry (VIWO) framework with online calibration for four-wheel independently steered and driven (4WIS4WID) mobile robots.TrafficSignBench: Rule-Centric Closed-Loop Evaluation of Traffic-Sign Compliance in Autonomous Driving
Autonomous driving planners are typically evaluated using aggregate metrics such as driving score, destination rate, and collision rate, which do not explicitly measure compliance with traffic rules.L1-MPPI: L1 Adaptive Model Predictive Path Integral for Agile UAV Control
This work proposes the L1 Adaptive Model Predictive Path Integral (L1-MPPI).Diffusion-2BC: Hybrid Diffusion and Regression Training for Offline Behavior Cloning in Autonomous Driving
Behavior cloning provides an offline route to autonomous-driving policy learning, but mean-squared-error regression is poorly matched to demonstrations in which one observation admits several valid…CADeT: Causal-Aware Deformation Transmission for Indirect Robotic Manipulation of Soft Tissue
Indirect manipulation of deep-seated deformable anatomy inaccessible to the robot is challenging in robot-assisted minimally invasive surgery (RAMIS) because intervening tissues spatially filter…What to Attend, What to Keep: Skill-Conditioned Visuotactile Representation with Progress-Guided Event Memory
Robotic manipulation integrates vision, touch, and language, whose importance shifts across stages: vision guides reaching, while touch, through its evolution over time, decides grasping, alignment…Onboard Vision and MPC Navigation for Underwater Robots: An Open BlueROV2 Platform for Multi-Robot Experiments & Docking
Autonomous underwater robots require robust perception, estimation and control to operate in confined environments.Behavioral Persistence and Incomplete Functional Transfer of Co-evolved Communication in Evolutionary Robotics
This work evaluates the direct transfer of a co-evolved communication protocol from a 2D simulation to a 3D physical environment, without retraining the network weights.Systematically Exploring the Capabilities of GPT-6 Astra as Embodied Policies
GPT-6 Astra exhibits a remarkable ability to generate numerical robot actions, extending its role beyond high-level planning.Data-Efficient Adaptation of a Driving VLA to Class 8 Trucks
Class 8 trucks differ from passenger cars in geometry, dynamics, and maneuvering requirements.Drone Soccer: Learning to Manipulate with Multicopter Downwash
Although multicopter drones are traditionally designed for "perception-only" tasks, like mapping and exploration, recent work has sought to develop Unmanned Aerial Manipulators (UAMs) to solve…FAST-Sync: Fast Group Synchronization for any Matrix Lie Group
Group synchronization (GS) is the problem of estimating a set of $N$ unknown elements $g_1,\ldots, g_N \in \mathcal{G}$ in a group $\mathcal{G}$, given noisy measurements of a subset of their…Correcting WHERE, Preserving HOW: Compositional Generalization for Vision-Language-Action Models via Referential Guidance
While Vision-Language-Action (VLA) models enable flexible action generation, their generalization across diverse environmental elements, including manipulated objects, destinations, and backgrounds…Dense Temporal Motion Retargeting for Legged Robots
Legged robots can learn expressive whole-body skills from the motions of humans and animals.HIGS: Hierarchical Implicit Grids for Joint Geometric and Semantic Scene Understanding
Neural implicit representations have had a significant impact on scene reconstruction by enabling robots to build continuous, differentiable, and high-fidelity 3D maps.Yggdrasil: a Layer-First 3D Scene Graph for Real-Time Querying
Robotic agents use 3D scene graphs (3DSG) to perform tasks ranging from scene understanding to scene interaction.