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.
Get the few papers worth your time in Robotics every morning.
Follow Robotics and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 29
SWIM: Learning What Matters from Behaviors for JEPA World Models
Joint-embedding predictive architectures (JEPAs) enable world models to plan from images by predicting future embeddings.From Biological Curves to Soft Modular Robots: Learning-Based Inverse Design with Uncertainty-Guided Refinement
Animals exhibit diverse shape-changing behaviors, from the undulatory swimming of eels to the arching movements of inchworms.RoboSTD: Zero-Shot Single-to-Dual Transfer via Sagittal Mirroring for Bimanual Learning
Bimanual robot manipulation plays an important role in real-world robotic applications, but the high cost of collecting bimanual demonstrations limits the scalable development of bimanual policy…TOPS: Reshaping Flow Source and Transport for Multi-Task Robot Manipulation
Flow-based policies for language-conditioned multi-task manipulation commonly share a single $\textit{Gaussian}$ source prior and a common linear transport path across tasks.On Shaky Ground: Characterising Non-Rigid Base Effects in Mobile Manipulation
Mobile robot manipulators extend contact-task capability beyond the workspace of fixed robot installations, but their bases must also sustain the forces generated by the task.Learning Side-by-Side Navigation for Personal Mobility Vehicles from Human Drivers
This paper presents an approach to achieve side-by-side autonomous motion with a pair of personal mobility vehicles (PMVs).Making Self-Driving Laboratories Auditable:A Unified Framework for Hybrid Actions,Measurements, and Safe Execution
Self-driving laboratories (SDLs) are laboratory systems that couple experimental planning, automated execution, and measurement feedback in a closed loop.A fully articulated humanoid dexterous hand with human-level joint structure enabled by linkage-based actuation
Humanoid dexterous hands are a core component of embodied intelligence, enabling robots to translate high-level intent into rich and adaptive physical interaction.RynnWorld-Latent: A Cross-Embodiment World Model Conditioned on Universal Latent Actions
Learning controllable world dynamics from heterogeneous interaction videos is challenging because robot embodiments use incompatible action spaces, while human videos lack native control labels.Gradient flow of magnetic inclination and intensity as a GPS-free guidance mechanism
It is well established that some animals, such as sea turtles, sense the Earth's magnetic field and use it as a primary cue for long-distance navigation across the vast and featureless ocean.Integrated Design and Reproducible Feasibility Analysis of a Four-Wheel Rover with Packet-Commanded Imaging, LiDAR Ranging, and Learning-Assisted Target Recognition
This study develops an integrated, reproducible design assessment for a four-wheel educational rover intended for the high-school remote-control division of the 2027 NASA Human Exploration Rover…TAPESTRY: A Single Backbone for Video Generation and Robot Control
Pretrained video generation models encode rich priors about physical interactions, but leveraging them for robot control typically requires either resource-intensive video generation at test time or…HC2Robot: Hyper-Connection Transformers with Predicted Foresight for Multi-Terrain Humanoid Parkour
Humanoid parkour requires robots to reason about future footholds and whole-body motions over highly discontinuous terrain.ExecDiffuser: Closing the Sample-to-Execution Gap in Diffusion Planning
Generative planners are often evaluated by the trajectories they can generate, although closed-loop driving ultimately depends on the single candidate committed to control.Trace-WAM: Learning to Act via 3D Motion Prediction for World Action Models
World Action Models (WAMs) learn representations for robot control by coupling future visual prediction with action generation.When Black-Box Robot Policies Fail: Online Sensor Diagnosis and Repair with a Transparent Surrogate
Robot foundation models may generalize across tasks and embodiments, but their actions still depend on sensors that can fail.ActiveAlign: Aligning Egocentric Manipulation via Active Perception
Real-to-Sim-to-Real (Real2Sim2Real) enables structured world representations for planning, interpretability, and safe execution.Keeping Contact: Task-Adaptive Friction Margins for Bimanual Non-Prehensile Manipulation
Maintaining contact in non-prehensile manipulation requires more than nominal friction cone feasibility: a force barely inside the cone and one well inside it are both feasible, but they provide…Omni-IGN: Onboard Image-Goal Navigation for Drones with Omnidirectional Vision
Image-goal navigation (ImageNav) requires an agent to reach a location specified by a goal image in an unknown environment.Structure-Actuation Co-Design of All-Electric Heavy-Duty Robotic Manipulators
This paper presents a mixed discrete-continuous multiobjective bilevel framework for the structure-actuation co-design of all-electric heavy-duty robotic manipulators.