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Assistive robotic arms enable users with physical disabilities to perform everyday tasks without relying on a caregiver. Unfortunately, the very dexterity that makes these arms useful also makes them challenging to teleoperate: the robot…

Robotics · Computer Science 2019-12-10 Dylan P. Losey , Krishnan Srinivasan , Ajay Mandlekar , Animesh Garg , Dorsa Sadigh

Robotic systems that can dynamically combine manipulation and locomotion could facilitate dangerous or physically demanding labor. For instance, firefighter humanoid robots could leverage their body by leaning against collapsed building…

Robotics · Computer Science 2022-03-08 Amartya Purushottam , Yeongtae Jung , Kevin Murphy , Donghoon Baek , Joao Ramos

Teleoperation provides a way for human operators to guide robots in situations where full autonomy is challenging or where direct human intervention is required. It can also be an important tool to teach robots in order to achieve…

Robotics · Computer Science 2021-11-15 Florian Kennel-Maushart , Roi Poranne , Stelian Coros

Flexible endoscopy requires high skills to manipulate both the endoscope and associated instruments. In most robotic flexible endoscopic systems, the endoscope and instruments are controlled separately by two operators, which may result in…

Robotics · Computer Science 2020-07-14 Yanpei Huang , Wenjie Lai , Lin Cao , Jiajun Liu , Xiaoguo Li , Etienne Burdet , Soo Jay Phee

Teleoperation offers a promising solution for enabling hands-on learning in remote education, particularly in environments requiring interaction with real-world equipment. However, such remote experiences can be costly or non-intuitive. To…

Robotics · Computer Science 2025-09-09 Ziling Chen , Yeo Jung Yoon , Rolando Bautista-Montesano , Zhen Zhao , Ajay Mandlekar , John Liu

Operating robots precisely and at high speeds has been a long-standing goal of robotics research. Balancing these competing demands is key to enabling the seamless collaboration of robots and humans and increasing task performance. However,…

This paper presents the MOBIUS platform, a bipedal robot capable of walking, crawling, climbing, and rolling. MOBIUS features four limbs, two 6-DoF arms with two-finger grippers for manipulation and climbing, and two 4-DoF legs for…

Robotics · Computer Science 2026-05-12 Alexander Schperberg , Yusuke Tanaka , Stefano Di Cairano , Dennis Hong

Mobile robots with complex morphology are essential for traversing rough terrains in Urban Search & Rescue missions (USAR). Since teleoperation of the complex morphology causes high cognitive load of the operator, the morphology is…

Robotics · Computer Science 2016-12-09 Martin Pecka , Karel Zimmermann , Michal Reinštein , Tomáš Svoboda

Mixed Reality (MR) is constantly evolving to inspire new patterns of robot manipulation for more advanced Human- Robot Interaction under the 4th Industrial Revolution Paradigm. Consider that Mixed Reality aims to connect physical and…

Robotics · Computer Science 2024-01-04 Hanxiao Chen

Teleoperation offers the possibility of imparting robotic systems with sophisticated reasoning skills, intuition, and creativity to perform tasks. However, current teleoperation solutions for high degree-of-actuation (DoA), multi-fingered…

Computer Vision and Pattern Recognition · Computer Science 2019-10-16 Ankur Handa , Karl Van Wyk , Wei Yang , Jacky Liang , Yu-Wei Chao , Qian Wan , Stan Birchfield , Nathan Ratliff , Dieter Fox

The creation of unique control methods for a hand prosthesis is still a problem that has to be addressed. The best choice of a human-machine interface (HMI) that should be used to enable natural control is still a challenge. Surface…

In the field of robotic control, designing individual controllers for each robot leads to high computational costs. Universal control policies, applicable across diverse robot morphologies, promise to mitigate this challenge. Predominantly,…

Robotics · Computer Science 2024-08-05 YiFan Hao , Yang Yang , Junru Song , Wei Peng , Weien Zhou , Tingsong Jiang , Wen Yao

As robots become increasingly prevalent in both homes and industrial settings, the demand for intuitive and efficient human-machine interaction continues to rise. Gesture recognition offers an intuitive control method that does not require…

Robotics · Computer Science 2025-09-16 Yuqing Song , Cesare Tonola , Stefano Savazzi , Sanaz Kianoush , Nicola Pedrocchi , Stephan Sigg

This paper presents a teleoperation system for controlling a redundant degree of freedom robot manipulator using human arm gestures. We propose a GRU-based Variational Autoencoder to learn a latent representation of the manipulator's…

Robotics · Computer Science 2025-02-05 Haoyi Shi , Mingxi Su , Ted Morris , Vassilios Morellas , Nikolaos Papanikolopoulos

For safe and effective operation of humanoid robots in human-populated environments, the problem of commanding a large number of Degrees of Freedom (DoF) while simultaneously considering dynamic obstacles and human proximity has still not…

Robotics · Computer Science 2024-12-12 Jakub Rozlivek , Alessandro Roncone , Ugo Pattacini , Matej Hoffmann

The main purpose of this research is to move the robotic arm (5DoF) in real-time, based on the surface Electromyography (sEMG) signals, as obtained from the wireless Myo gesture armband to distinguish seven hand movements. The sEMG signals…

Signal Processing · Electrical Eng. & Systems 2018-10-24 Hussein F. Hassan , Sadiq J. Abou-Loukh , Ibraheem Kasim Ibraheem

The control of collective robotic systems, such as drone swarms, is often delegated to autonomous navigation algorithms due to their high dimensionality. However, like other robotic entities, drone swarms can still benefit from being…

Robotics · Computer Science 2021-03-16 Matteo Macchini , Ludovic De Matteïs , Fabrizio Schiano , Dario Floreano

Recently, many humanoid robots have been increasingly deployed in various facilities, including hospitals and assisted living environments, where they are often remotely controlled by human operators. Their kinematic redundancy enhances…

Robotics · Computer Science 2025-12-01 Nikita Boguslavskii , Lorena Maria Genua , Zhi Li

The swiftly expanding retail sector is increasingly adopting autonomous mobile robots empowered by artificial intelligence and machine learning algorithms to gain an edge in the competitive market. However, these autonomous robots encounter…

Legged locomotion enables robotic systems to traverse extremely challenging terrains. In many real-world scenarios, the terrain is not that difficult and these mixed terrain types introduce the need for flexible use of different walking…