arxiv.org/abs/2307.03659v1
What makes generalization hard for imitation learning in visual robotic manipulation? This question is difficult to approach at face value, but the environment from the perspective of a robot can often be decomposed into enumerable factors of variati...
arxiv.org/abs/2405.15019v2
Language-conditioned robotic skills make it possible to apply the high-level reasoning of Large Language Models (LLMs) to low-level robotic control. A remaining challenge is to acquire a diverse set of fundamental skills. Existing approaches either m...
arxiv.org/abs/1803.02122v1
Humanoid robotics is a promising field because the strong human preference to interact with anthropomorphic interfaces. Despite this, humanoid robots are far from reaching main stream adoption and the features available in such robots seem to lag tha...
github.com/pollen-robotics/reachy_mini
Reachy Mini's SDK (⭐ 985)
en.wikipedia.org/wiki/Vipul_Patel
The Journal of Robotic Surgery. He is board certified by the American Urological Association and specializes in robotic surgery for prostate cancer. On
arxiv.org/abs/2602.09367v1
Robotic assistance in scientific laboratories requires procedurally correct long-horizon manipulation, reliable execution under limited supervision, and robustness in low-demonstration regimes. Such conditions greatly challenge end-to-end vision-lang...
arxiv.org/abs/2510.14830v3
Real-world robotic manipulation in homes and factories demands reliability, efficiency, and robustness that approach or surpass the performance of skilled human operators. We present RL-100, a real-world reinforcement learning framework built on diff...
arxiv.org/abs/1909.09282v1
Deep Reinforcement Learning is a promising paradigm for robotic control which has been shown to be capable of learning policies for high-dimensional, continuous control of unmodeled systems. However, RoboticReinforcement Learning currently lacks clea...
arxiv.org/abs/2510.21609v1
Achieving safe, reliable real-world robotic manipulation requires agents to evolve beyond vision and incorporate tactile sensing to overcome sensory deficits and reliance on idealised state information. Despite its potential, the efficacy of tactile...
arxiv.org/abs/1806.01542v1
The First G-APD Cherenkov Telecope is an Imaging Air Cherenkov Tele- scope operating since 2011 at the Observatorio del Roque de los Muchachos. One of the major goals of the FACT collaboration is to achieve robotic operation of the telescope. Since 2...
arxiv.org/abs/2302.06208v1
Purpose: Mutual acceptance is required for any human-to-human interaction. Therefore, one would assume that this also holds for robot-patient interactions. However, the medical robotic imaging field lacks research in the area of acceptance. This work...
arxiv.org/abs/2304.01902v1
Affective robotics research aims to better understand human social and emotional signals to improve human-robot interaction (HRI), and has been widely used during the last decade in multiple application fields. Past works have demonstrated, indeed, t...
github.com/HKUST-Aerial-Robotics/VINS-Fusion
An optimization-based multi-sensor state estimator (⭐ 4401)
arxiv.org/abs/1807.07378v1
Robotic cell injection is used for automatically delivering substances into a cell and is an integral component of drug development, genetic engineering and many other areas of cell biology. Traditionally, the correctness of functionality of these sy...
arxiv.org/abs/1809.01180v1
The Arizona Robotic Telescope Network (ARTN) project is a long term effort to develop a system of telescopes to carry out a flexible program of PI observing, survey projects, and time domain astrophysics including monitoring, rapid response, and tran...
arxiv.org/abs/2205.06714v1
Robotic cloth manipulation is challenging due to its deformability, which makes determining its full state infeasible. However, for cloth folding, it suffices to know the position of a few semantic keypoints. Convolutional neural networks (CNN) can b...
arxiv.org/abs/2412.04455v3
Automatic detection and prevention of open-set failures are crucial in closed-loop robotic systems. Recent studies often struggle to simultaneously identify unexpected failures reactively after they occur and prevent foreseeable ones proactively. To...
arxiv.org/abs/2508.11884v1
Humanoid robots represent the cutting edge of robotics research, yet their potential in entertainment remains largely unexplored. Entertainment as a field prioritizes visuals and form, a principle that contrasts with the purely functional designs of...
arxiv.org/abs/2309.13168v1
In most factories today the robotic cells are deployed on well enforced bases to avoid any external impact on the accuracy of production. In contrast to that, we evaluate a futuristic concept where the whole robotic cell could work in a moving platfo...
github.com/pal-robotics/backward_ros
No description (⭐ 240)