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相关论文: Allowing Safe Contact in Robotic Goal-Reaching: Pl…

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In order to enable physical human-robot interaction where humans and (mobile) manipulators share their workspace and work together, robots have to be equipped with important capabilities to guarantee human safety. The robots have to…

机器人学 · 计算机科学 2020-06-03 Christian Frese , Angelika Zube , Christian Frey

Continuum robots are well suited for navigating confined and fragile environments, such as vascular or endoluminal anatomy, where contact with surrounding structures is often unavoidable. While controlled contact can assist motion,…

机器人学 · 计算机科学 2026-04-20 Aedan Mangan , Kehan Long , Ki Myung Brian Lee , Miheer Potdar , Nikolay Atanasov , Tania K. Morimoto

Robotic manipulation research has investigated contact-rich problems and strategies that require robots to intentionally collide with their environment, to accomplish tasks that cannot be handled by traditional collision-free solutions. By…

机器人学 · 计算机科学 2025-09-15 Kejia Ren , Gaotian Wang , Andrew S. Morgan , Kaiyu Hang

Direct physical interaction with robots is becoming increasingly important in flexible production scenarios, but robots without protective fences also pose a greater risk to the operator. In order to keep the risk potential low, relatively…

机器人学 · 计算机科学 2023-04-14 Maryam Rezayati , Grammatiki Zanni , Ying Zaoshi , Davide Scaramuzza , Hans Wernher van de Venn

Unlike human beings that can employ the entire surface of their limbs as a means to establish contact with their environment, robots are typically programmed to interact with their environments via their end-effectors, in a collision-free…

机器人学 · 计算机科学 2023-08-09 Zhaoting Li , Miguel Zamora , Hehui Zheng , Stelian Coros

Reinforcement learning shows great potential to solve complex contact-rich robot manipulation tasks. However, the safety of using RL in the real world is a crucial problem, since unexpected dangerous collisions might happen when the RL…

机器人学 · 计算机科学 2025-05-27 Xiang Zhu , Shucheng Kang , Jianyu Chen

We begin this paper by presenting our approach to robot manipulation, which emphasizes the benefits of making contact with the world across the entire manipulator. We assume that low contact forces are benign, and focus on the development…

机器人学 · 计算机科学 2013-04-24 Advait Jain , Marc D. Killpack , Aaron Edsinger , Charles C. Kemp

Planning contact interactions is one of the core challenges of many robotic tasks. Optimizing contact locations while taking dynamics into account is computationally costly and, in environments that are only partially observable, executing…

机器人学 · 计算机科学 2020-04-20 Alina Kloss , Maria Bauza , Jiajun Wu , Joshua B. Tenenbaum , Alberto Rodriguez , Jeannette Bohg

As robots operate in increasingly complex and dynamic environments, fast motion re-planning has become a widely explored area of research. In a real-world deployment, we often lack the ability to fully observe the environment at all times,…

机器人学 · 计算机科学 2022-02-08 Mark Nicholas Finean , Wolfgang Merkt , Ioannis Havoutis

In robots, nonprehensile manipulation operations such as pushing are a useful way of moving large, heavy or unwieldy objects, moving multiple objects at once, or reducing uncertainty in the location or pose of objects. In this study, we…

机器人学 · 计算机科学 2021-08-03 John Lloyd , Nathan F. Lepora

Multi-robot collaboration for target tracking in adversarial environments poses significant challenges, including system failures, dynamic priority shifts, and other unpredictable factors. These challenges become even more pronounced when…

机器人学 · 计算机科学 2025-07-31 Peihan Li , Yuwei Wu , Jiazhen Liu , Gaurav S. Sukhatme , Vijay Kumar , Lifeng Zhou

Human-robot collaboration aims to extend human ability through cooperation with robots. This technology is currently helping people with physical disabilities, has transformed the manufacturing process of companies, improved surgical…

机器人学 · 计算机科学 2026-03-10 Xiangjie Yan , Chen Chen , Xiang Li

In recent years, the focus on developing robot manipulators has shifted towards prioritizing safety in Human-Robot Interaction (HRI). Impedance control is a typical approach for interaction control in collaboration tasks. However, such a…

机器人学 · 计算机科学 2025-04-24 Zi-Qi Yang , Miaomiao Wang , Mehrdad R. Kermani

Humanoid robots rely on multi-contact planners to navigate a diverse set of environments, including those that are unstructured and highly constrained. To synthesize stable multi-contact plans within a reasonable time frame, most planners…

机器人学 · 计算机科学 2024-10-14 Carlos Gonzalez , Luis Sentis

Human safety has always been the main priority when working near an industrial robot. With the rise of Human-Robot Collaborative environments, physical barriers to avoiding collisions have been disappearing, increasing the risk of accidents…

In this context, a major focus of this thesis is on unintentional collisions, where a straight goal is to eliminate injury from users and passerby's via realtime sensing and control systems. A less obvious focus is to combine collision…

机器人学 · 计算机科学 2017-11-08 Kwan Suk Kim

Navigation and motion control of a robot to a destination are tasks that have historically been performed with the assumption that contact with the environment is harmful. This makes sense for rigid-bodied robots where obstacle collisions…

机器人学 · 计算机科学 2021-02-10 Joseph D. Greer , Laura H. Blumenschein , Ron Alterovitz , Elliot W. Hawkes , Allison M. Okamura

Modern industry still relies on manual manufacturing operations and safe human-robot interaction is of great interest nowadays. Speed and Separation Monitoring (SSM) allows close and efficient collaborative scenarios by maintaining a…

Robotic tasks involving contact interactions pose significant challenges for trajectory optimization due to discontinuous dynamics. Conventional formulations typically assume deterministic contact events, which limit robustness and…

机器人学 · 计算机科学 2026-02-09 Zhuocheng Zhang , Haizhou Zhao , Xudong Sun , Aaron M. Johnson , Majid Khadiv

Robust motion planning is a well-studied problem in the robotics literature, yet current algorithms struggle to operate scalably and safely in the presence of other moving agents, such as humans. This paper introduces a novel framework for…

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