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Robotic planning problems in hybrid state and action spaces can be solved by integrated task and motion planners (TAMP) that handle the complex interaction between motion-level decisions and task-level plan feasibility. TAMP approaches rely…

Robotics · Computer Science 2021-07-19 Tom Silver , Rohan Chitnis , Joshua Tenenbaum , Leslie Pack Kaelbling , Tomas Lozano-Perez

Typical end-to-end formulations for learning robotic navigation involve predicting a small set of steering command actions (e.g., step forward, turn left, turn right, etc.) from images of the current state (e.g., a bird's-eye view of a SLAM…

Robotics · Computer Science 2020-10-13 Jimmy Wu , Xingyuan Sun , Andy Zeng , Shuran Song , Johnny Lee , Szymon Rusinkiewicz , Thomas Funkhouser

We present a coarse-to-fine approach based semi-autonomous teleoperation system using vision guidance. The system is optimized for long range teleoperation tasks under time-delay network conditions and does not require prior knowledge of…

Robotics · Computer Science 2019-03-25 Jun Jin , Laura Petrich , Shida He , Masood Dehghan , Martin Jagersand

Robot learning empowers the robot system with human brain-like intelligence to autonomously acquire and adapt skills through experience, enhancing flexibility and adaptability in various environments. Aimed at achieving a similar level of…

Robotics · Computer Science 2026-05-18 Yuxuan Zhao , Yuanchen Tang , Jindi Zhang , Hongyu Yu

Drones can provide a minimally-constrained adapting camera view to support robot telemanipulation. Furthermore, the drone view can be automated to reduce the burden on the operator during teleoperation. However, existing approaches do not…

Deploying robotic missions can be challenging due to the complexity of controlling robots with multiple degrees of freedom, fusing diverse sensory inputs, and managing communication delays and interferences. In nuclear inspection, robots…

To ensure that a robot is able to accomplish an extensive range of tasks, it is necessary to achieve a flexible combination of multiple behaviors. This is because the design of task motions suited to each situation would become increasingly…

Robotics · Computer Science 2023-10-04 Kanata Suzuki , Hiroki Mori , Tetsuya Ogata

Many works in robot teaching either focus only on teaching task knowledge, such as geometric constraints, or motion knowledge, such as the motion for accomplishing a task. However, to effectively teach a complex task sequence to a robot, it…

Robotics · Computer Science 2021-01-01 Kazuhiro Sasabuchi , Naoki Wake , Katsushi Ikeuchi

In adult laparoscopy, robot-aided surgery is a reality in thousands of operating rooms worldwide, owing to the increased dexterity provided by the robotic tools. Many robots and robot control techniques have been developed to aid in more…

One of the most important barriers toward a widespread use of mobile robots in unstructured and human populated work environments is the ability to plan a safe path. In this paper, we propose to delegate this activity to a human operator…

This paper proposes a common interface for real-time low-level motion planning of collaborative robotic arms, aimed at enabling broader applicability and improved portability across heterogeneous hardware platforms. In previous work, we…

Robotics · Computer Science 2026-04-13 Yue Feng , Weicheng Huang , I-Ming Chen

In teleoperation of contact-rich manipulation tasks, selecting robot impedance is critical but difficult. The robot must be compliant to avoid damaging the environment, but stiff to remain responsive and to apply force when needed. In this…

We design a motion planning algorithm to coordinate the movements of two robots along a figure eight track, in such a way that no collisions occur. We use a topological approach to robot motion planning that relates instabilities in motion…

Robotics · Computer Science 2024-03-19 Cristian Jardon , Brian Sheppard , Veet Zaveri

Autonomous robots often encounter challenging situations where their control policies fail and an expert human operator must briefly intervene, e.g., through teleoperation. In settings where multiple robots act in separate environments, a…

Robotics · Computer Science 2020-03-10 Gokul Swamy , Siddharth Reddy , Sergey Levine , Anca D. Dragan

Understanding human intentions is critical for safe and effective human-robot collaboration. While state of the art methods for human goal prediction utilize learned models to account for the uncertainty of human motion data, that data is…

Robotics · Computer Science 2024-01-24 Yi-Shiuan Tung , Matthew B. Luebbers , Alessandro Roncone , Bradley Hayes

Teleoperation can transfer human perception and cognition to a slave robot to cope with some complex tasks, in which the agility and flexibility of the interface play an important role in mapping human intention to the robot. In this paper,…

Robotics · Computer Science 2024-10-22 Jianhang Jia , Hao Zhou , Xin Zhang

Large scale, diverse demonstration data for manipulation tasks remains a major challenge in learning-based robot policies. Existing in-the-wild data collection approaches often rely on vision-based pose estimation of hand-held grippers or…

Robotics · Computer Science 2026-03-11 Noboru Myers , Sankalp Yamsani , Obin Kwon , Joohyung Kim

Given a demonstration of a complex manipulation task, such as pouring liquid from one container to another, we seek to generate a motion plan for a new task instance involving objects with different geometries. This is nontrivial since we…

This paper considers the motion planning problem for multiple tethered planar mobile robots. Each robot is attached to a fixed base by a flexible cable. Since the robots share a common workspace, the interactions amongst the robots, cables,…

Robotics · Computer Science 2019-05-21 Xu Zhang , Quang-Cuong Pham

The operation of telerobotic systems can be a challenging task, requiring intuitive and efficient interfaces to enable inexperienced users to attain a high level of proficiency. Body-Machine Interfaces (BoMI) represent a promising…

Robotics · Computer Science 2021-02-02 Matteo Macchini , Manana Lortkipanidze , Fabrizio Schiano , Dario Floreano