中文
相关论文

相关论文: Safe Physical Human-Robot Interaction through Vari…

200 篇论文

We present a tool-supported approach for the synthesis, verification and validation of the control software responsible for the safety of the human-robot interaction in manufacturing processes that use collaborative robots. In human-robot…

Reinforcement learning algorithms have shown great success in solving different problems ranging from playing video games to robotics. However, they struggle to solve delicate robotic problems, especially those involving contact…

机器人学 · 计算机科学 2020-07-15 Miroslav Bogdanovic , Majid Khadiv , Ludovic Righetti

Human-robot interaction will play an essential role in various industries and daily tasks, enabling robots to effectively collaborate with humans and reduce their physical workload. Most of the existing approaches for physical human-robot…

机器人学 · 计算机科学 2024-12-04 Guanrui Li , Xinyang Liu , Giuseppe Loianno

Collaborative space robots are an emerging technology with high impact as robots facilitate servicing functions in collaboration with astronauts with higher precision during lengthy tasks, under tight operational schedules, with less risk…

机器人学 · 计算机科学 2020-09-22 Adriana Fernandes , Rodrigo Ventura

Human-robot collaboration (HRC) introduces significant safety challenges, particularly in protecting human operators working alongside collaborative robots (cobots). While current ISO standards emphasize risk assessment and hazard…

机器人学 · 计算机科学 2025-03-12 Georgios Katranis , Frederik Plahl , Joachim Grimstadt , Ilshat Mamaev , Silvia Vock , Andrey Morozov

Constraint-aware estimation of human intent is essential for robots to physically collaborate and interact with humans. Further, to achieve fluid collaboration in dynamic tasks intent estimation should be achieved in real-time. In this…

机器人学 · 计算机科学 2024-09-04 Yifei Simon Shao , Tianyu Li , Shafagh Keyvanian , Pratik Chaudhari , Vijay Kumar , Nadia Figueroa

In robotic manipulation, end-effector compliance is an essential precondition for performing contact-rich tasks, such as machining, assembly, and human-robot interaction. Most robotic arms are position-controlled stiff systems at a hardware…

Physical human-robot interactions (pHRIs) can improve robot autonomy and reduce physical demands on humans. In this paper, we consider a collaborative task with a considerably long object and no prior knowledge of the object's parameters.…

机器人学 · 计算机科学 2023-10-20 Jinseong Park , Yong-Sik Shin , Sanghyun Kim

Impedance control is a well-established technique to control interaction forces in robotics. However, real implementations of impedance control with an inner loop may suffer from several limitations. Although common practice in designing…

What is considered safe for a robot operator during physical human-robot collaboration (HRC) is specified in corresponding HRC standards (e.g., ISO/TS 15066). The regime that allows collisions between the moving robot and the operator,…

机器人学 · 计算机科学 2025-03-07 Lukas Rustler , Matej Misar , Matej Hoffmann

Human-robot collaboration including close physical human-robot interaction (pHRI) is a current trend in industry and also science. The safety guidelines prescribe two modes of safety: (i) power and force limitation and (ii) speed and…

机器人学 · 计算机科学 2018-05-21 Petr Švarný , Matěj Hoffmann

Cartesian impedance control is a type of motion control strategy for robots that improves safety in partially unknown environments by achieving a compliant behavior of the robot with respect to its external forces. This compliant robot…

机器人学 · 计算机科学 2022-12-22 Matthias Mayr , Julian M. Salt-Ducaju

This paper addresses the problem of safe and efficient navigation in remotely controlled robots operating in hazardous and unstructured environments; or conducting other remote robotic tasks. A shared control method is presented which…

机器人学 · 计算机科学 2021-07-05 Pantelis Pappas , Manolis Chiou , Georgios-Theofanis Epsimos , Grigoris Nikolaou , Rustam Stolkin

Human-robot collaborative disassembly is an emerging trend in the sustainable recycling process of electronic and mechanical products. It requires the use of advanced technologies to assist workers in repetitive physical tasks and deal with…

机器人学 · 计算机科学 2023-09-29 Sebastian Hjorth , Edoardo Lamon , Dimitrios Chrysostomou , Arash Ajoudani

Artificial electronic skins covering complete robot bodies can make physical human-robot collaboration safe and hence possible. Standards for collaborative robots (e.g., ISO/TS 15066) prescribe permissible forces and pressures during…

机器人学 · 计算机科学 2025-03-10 Lukas Rustler , Matej Misar , Matej Hoffmann

Physical interactive robotics, ranging from wearable devices to collaborative humanoid robots, require close coordination between mechanical design and control. However, evaluating interactive dynamics is challenging due to complex human…

机器人学 · 计算机科学 2026-03-11 Chenhui Zuo , Jinhao Xu , Michael Qian Vergnolle , Yanan Sui

Humans show specialized strategies for efficient collaboration. Transferring similar strategies to humanoid robots can improve their capability to interact with other agents, leading the way to complex collaborative scenarios with multiple…

Recent advancements in robotics have increased the possibilities for integrating robotic systems into human-involved workplaces, highlighting the need to examine and optimize human-robot coordination in collaborative settings. This study…

机器人学 · 计算机科学 2025-11-26 Róisín Keenan , Joost C. Dessing

How can multiple humans interact with multiple robots? The goal of our research is to create an effective interface that allows multiple operators to collaboratively control teams of robots in complex tasks. In this paper, we focus on a key…

机器人学 · 计算机科学 2021-02-02 Jayam Patel , Tyagaraja Ramaswamy , Zhi Li , Carlo Pinciroli

Human motor control remains agile and robust despite limited sensory information for feedback, a property attributed to the body's ability to perform morphological computation through muscle coordination with variable impedance. However, it…

系统与控制 · 电气工程与系统科学 2025-12-04 Hidaka Asai , Tomoyuki Noda , Jun Morimoto