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This letter introduces an innovative visuo-haptic interface to control Mobile Collaborative Robots (MCR). Thanks to a passive detachable mechanism, the interface can be attached/detached from a robot, offering two control modes: local…

机器人学 · 计算机科学 2024-06-05 Hamidreza Raei , Juan M. Gandarias , Elena De Momi , Pietro Balatti , Arash Ajoudani

Embodied agents in continuous control domains have had limited exposure to tasks allowing to explore musculoskeletal properties that enable agile and nimble behaviors in biological beings. The sophistication behind neuro-musculoskeletal…

机器人学 · 计算机科学 2022-06-07 Vittorio Caggiano , Huawei Wang , Guillaume Durandau , Massimo Sartori , Vikash Kumar

Model Predictive Control (MPC) schemes have proven their efficiency in controlling high degree-of-freedom (DoF) complex robotic systems. However, they come at a high computational cost and an update rate of about tens of hertz. This…

机器人学 · 计算机科学 2022-08-01 Jin Cheng , Firas Abi-Farraj , Farbod Farshidian , Marco Hutter

Efficient and intuitive Human-Robot interfaces are crucial for expanding the user base of operators and enabling new applications in critical areas such as precision agriculture, automated construction, rehabilitation, and environmental…

机器人学 · 计算机科学 2023-04-05 Paulo Padrao , Jose Fuentes , Tero Kaarlela , Alfredo Bayuelo , Leonardo Bobadilla

We introduce MecQaBot, an open-source, affordable, and modular autonomous mobile robotics framework developed for education and research at Macquarie University, School of Engineering, since 2019. This platform aims to provide students and…

机器人学 · 计算机科学 2024-11-21 Alice James , Avishkar Seth , Subhas Mukhopadhyay

In this paper, we present a touch technology to achieve tactile interactivity for human-robot interaction (HRI) in soft robotics. By combining a capacitive touch sensor with an online solid mechanics simulation provided by the SOFA…

Robot teleoperation systems face a common set of challenges including latency, low-dimensional user commands, and asymmetric control inputs. User control with Brain-Computer Interfaces (BCIs) exacerbates these problems through especially…

In this paper we present an architecture for the operation of an assistive robot finally aimed at allowing users with severe motion disabilities to perform manipulation tasks that may help in daily-life operations. The robotic system, based…

机器人学 · 计算机科学 2019-05-31 Filippo Arrichiello , Paolo Di Lillo , Daniele Di Vito , Gianluca Antonelli , Stefano Chiaverini

Complex robotic tasks require human collaboration to benefit from their high dexterity. Frequent human-robot interaction is mentally demanding and time-consuming. Intuitive and easy-to-use robot control interfaces reduce the negative…

人机交互 · 计算机科学 2022-11-03 Sautenkov Oleg , Altamirano Cabrera Miguel , Rakhmatulin Viktor , Tsetserukou Dzmitry

Robotic manipulation of unfamiliar objects in new environments is challenging and requires extensive training or laborious pre-programming. We propose a new skill transfer framework, which enables a robot to transfer complex object…

Task-space quadratic programming (QP) is an elegant approach for controlling robots subject to constraints. Yet, in the case of kinematic-controlled (i.e., high-gains position or velocity) robots, closed-loop QP control scheme can be prone…

机器人学 · 计算机科学 2023-07-28 Mohamed Djeha , Pierre Gergondet , Abderrahmane Kheddar

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

Generalist humanoid motion trackers have recently achieved strong simulation metrics by scaling data and training, yet often remain brittle on hardware during sustained teleoperation due to interface- and dynamics-induced errors. We present…

Incorporating both flexible and rigid components in robot designs offers a unique solution to the limitations of traditional rigid robotics by enabling both compliance and strength. This paper explores the challenges and solutions for…

机器人学 · 计算机科学 2024-03-28 Zach J. Patterson , Wei Xiao , Emily Sologuren , Daniela Rus

Wheel-legged robots with integrated manipulators hold great promise for mobile manipulation in logistics, industrial automation, and human-robot collaboration. However, unified control of such systems remains challenging due to the…

机器人学 · 计算机科学 2025-09-18 Zong Chen , Shaoyang Li , Ben Liu , Min Li , Zhouping Yin , Yiqun Li

This paper presents a system for enabling real-time synthesis of whole-body locomotion and manipulation policies for real-world legged robots. Motivated by recent advancements in robot simulation, we leverage the efficient parallelization…

机器人学 · 计算机科学 2024-09-17 Juan Alvarez-Padilla , John Z. Zhang , Sofia Kwok , John M. Dolan , Zachary Manchester

Accessibility is one of the most important features in the design of robots and their interfaces. This thesis proposes methods that improve the accessibility of robots for three different target audiences: consumers, researchers, and…

机器人学 · 计算机科学 2023-05-18 Andrea F. Daniele

This paper presents the development of a new software in order to manage objects, robots and mannequins in using the possibilities given by the haptic feedback of the Phantom desktop devices. The haptic device provides 6 positional degrees…

机器人学 · 计算机科学 2020-07-17 Damien Chablat , Fouad Bennis , Bernard Hoessler , Matthieu Guibert

Solving mobile manipulation tasks in inaccessible and dangerous environments is an important application of robots to support humans. Example domains are construction and maintenance of manned and unmanned stations on the moon and other…

This paper proposes a real-time model predictive control (MPC) scheme to execute multiple tasks using robots over a finite-time horizon. In industrial robotic applications, we must carefully consider multiple constraints for avoiding joint…

机器人学 · 计算机科学 2022-09-27 Jaemin Lee , Mingyo Seo , Andrew Bylard , Robert Sun , Luis Sentis
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