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Unmanned aerial vehicles are rapidly evolving within the field of robotics. However, their performance is often limited by payload capacity, operational time, and robustness to impact and collision. These limitations of aerial vehicles…

The great diversity of end-user tasks ranging from manufacturing environments to personal homes makes pre-programming robots for general purpose applications extremely challenging. In fact, teaching robots new actions from scratch that can…

机器人学 · 计算机科学 2021-12-09 Ying Siu Liang , Damien Pellier , Humbert Fiorino , Sylvie Pesty

The general inverse kinematics (IK) problem of a manipulator, namely that of acquiring the self-motion manifold (SMM) of all admissible joint angles for a desired end-effector pose, plays a vital role in robotics modeling, planning and…

机器人学 · 计算机科学 2021-04-27 Yajue Yang , Yuanqing Wu , Jia Pan

Considering the difficulty of students in calculating the direct and inverse kinematics of a robotic manipulator using only conventional tools of a classroom, this article proposes the application of Project Based Learning (ABP) through the…

Robot manipulation of rope-like objects is an interesting problem that has some critical applications, such as autonomous robotic suturing. Solving for and controlling rope is difficult due to the complexity of rope physics and the…

机器人学 · 计算机科学 2022-02-22 Fei Liu , Entong Su , Jingpei Lu , Mingen Li , Michael C. Yip

This is a follow-up tutorial article of our previous article entitled "Robot Basics: Representation, Rotation and Velocity". For better understanding of the topics covered in this articles, we recommend the readers to first read our…

机器人学 · 计算机科学 2022-11-29 Jiawei Zhang

In this paper, we present a nonlinear analysis software toolkit, which can help in biomechanical gait data analysis by implementing various nonlinear statistical analysis algorithms. The toolkit is proposed to tackle the need for an…

新兴技术 · 计算机科学 2023-11-14 Shifat Sarwar , Aaron Likens , Nick Stergiou , Spyridon Mastorakis

Analytic and optimization methods for solving inverse kinematics (IK) problems have been deeply studied throughout the history of robotics. The two strategies have complementary strengths and weaknesses, but developing a unified approach to…

机器人学 · 计算机科学 2026-02-06 Thomas Cohn , Lihan Tang , Alexandre Amice , Russ Tedrake

Socially assistive robots are increasingly being designed to interact with humans in various therapeutical scenarios. We believe that one useful scenario is providing exercise coaching for Persons with Dementia (PwD), which involves unique…

机器人学 · 计算机科学 2019-09-27 Martin Cooney , Jacob Pihl , Hanna Larsson , Abbas Orand , Eren Erdal Aksoy

Programming a robot to deal with open-ended tasks remains a challenge, in particular if the robot has to manipulate objects. Launching, grasping, pushing or any other object interaction can be simulated but the corresponding models are not…

机器人学 · 计算机科学 2020-12-15 Seungsu Kim , Alexandre Coninx , Stephane Doncieux

Training generalist agents capable of solving diverse tasks is challenging, often requiring large datasets of expert demonstrations. This is particularly problematic in robotics, where each data point requires physical execution of actions…

机器人学 · 计算机科学 2024-07-18 Siddhant Haldar , Zhuoran Peng , Lerrel Pinto

In robot-assisted minimally invasive surgery (RMIS), inverse kinematics (IK) must satisfy a remote center of motion (RCM) constraint to prevent tissue damage at the incision point. However, most of existing IK methods do not account for the…

机器人学 · 计算机科学 2024-06-17 Jacinto Colan , Ana Davila , Yasuhisa Hasegawa

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,…

As technology progresses, industrial and scientific robots are increasingly being used in diverse settings. In many cases, however, programming the robot to perform such tasks is technically complex and costly. To maximize the utility of…

人工智能 · 计算机科学 2023-08-29 Colin Bellinger , Laurence Lamarche-Cliche

To build commercial robots, skid-steering mechanical design is of increased popularity due to its manufacturing simplicity and unique mechanism. However, these also cause significant challenges on software and algorithm design, especially…

机器人学 · 计算机科学 2022-10-27 Xingxing Zuo , Mingming Zhang , Mengmeng Wang , Yiming Chen , Guoquan Huang , Yong Liu , Mingyang Li

Even though artificial muscles have gained popularity due to their compliant, flexible, and compact properties, there currently does not exist an easy way of making informed decisions on the appropriate actuation strategy when designing a…

机器人学 · 计算机科学 2021-04-16 Taylor West Henderson , Yuheng Zhi , Angela Liu , Michael C. Yip

This paper presents a methodology that forms an automated tool for robot kinematic representation conversion, called the RobKin Interpreter. It is a set of analytical algorithms that apply basic linear algebra tools that can analyze an…

机器人学 · 计算机科学 2023-01-18 Daniel Huczala , Tomáš Kot , Jakub Mlotek , Jiří Suder , Martin Pfurner

The development of versatile robots capable of traversing challenging and irregular environments is of increasing interest in the field of robotics, and metameric robots have been identified as a promising solution due to their slender,…

机器人学 · 计算机科学 2023-03-22 Qinyan Zhou , Hongbin Fang , Zhihai Bi , Jian Xu

Dynamic balancing under uncertain disturbances is important for a humanoid robot, which requires a good capability of coordinating the entire body redundancy to execute multi tasks. Whole-body control (WBC) based on hierarchical…

机器人学 · 计算机科学 2021-08-10 Yan Xie , Jiajun Wang , Hao Dong , Xiaoyu Ren , Liqun Huang , Mingguo Zhao

This paper presents an efficient learning-based method to solve the inverse kinematic (IK) problem on soft robots with highly non-linear deformation. The major challenge of efficiently computing IK for such robots is due to the lack of…

机器人学 · 计算机科学 2022-06-07 Guoxin Fang , Yingjun Tian , Zhi-Xin Yang , Jo M. P. Geraedts , Charlie C. L. Wang