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Collaborative robots are being increasingly utilized in industrial production lines due to their efficiency and accuracy. However, the close proximity between humans and robots can pose safety risks due to the robot's high-speed movements…

This work designs a mechanical tool for robots with 2-finger parallel grippers, which extends the function of the robotic gripper without additional requirements on tool exchangers or other actuators. The fundamental kinematic structure of…

Robotics · Computer Science 2019-06-25 Zhengtao Hu , Weiwei Wan , Kensuke Harada

Learning priors on trajectory distributions can help accelerate robot motion planning optimization. Given previously successful plans, learning trajectory generative models as priors for a new planning problem is highly desirable. Prior…

Robotics · Computer Science 2024-03-27 Joao Carvalho , An T. Le , Mark Baierl , Dorothea Koert , Jan Peters

Motion estimation is a key component of any modern video codec. Our understanding of motion and the estimation of motion from video has come a very long way since 2000. More than 135 different algorithms have been recently reviewed by…

Image and Video Processing · Electrical Eng. & Systems 2020-07-24 Daniel J. Ringis , Davinder Singh , Francois Pitie , Anil Kokaram

In most computer vision and image analysis problems, it is necessary to define a similarity measure between two or more different objects or images. Template matching is a classic and fundamental method used to score similarities between…

Computer Vision and Pattern Recognition · Computer Science 2016-10-25 Nazanin Sadat Hashemi , Roya Babaie Aghdam , Atieh Sadat Bayat Ghiasi , Parastoo Fatemi

This article explores human-like movement from a fresh perspective on motion planning. We analyze the coordinated and compliant movement mechanisms of the human body from the perspective of biomechanics. Based on these mechanisms, we…

Robotics · Computer Science 2024-10-22 Lei Shi , Qichao Liu , Cheng Zhou , Wentao Gao , Haotian Wu , Yu Zheng , Xiong Li

When facing a new motion-planning problem, most motion planners solve it from scratch, e.g., via sampling and exploration or starting optimization from a straight-line path. However, most motion planners have to experience a variety of…

Robotics · Computer Science 2024-08-12 Dibyendu Das , Yuanjie Lu , Erion Plaku , Xuesu Xiao

Parametrized motion planning algorithms have high degrees of universality and flexibility, as they are designed to work under a variety of external conditions, which are viewed as parameters and form part of the input of the underlying…

Algebraic Topology · Mathematics 2021-10-15 Daniel C. Cohen , Michael Farber , Shmuel Weinberger

Time synchronization is a critical task in robotic computing such as autonomous driving. In the past few years, as we developed advanced robotic applications, our synchronization system has evolved as well. In this paper, we first introduce…

Robotics · Computer Science 2021-03-31 Shaoshan Liu , Bo Yu , Yahui Liu , Kunai Zhang , Yisong Qiao , Thomas Yuang Li , Jie Tang , Yuhao Zhu

The levels of agility and flight or swimming performance demonstrated by insects, birds, fish, and even some aquatic invertebrates, are often vastly superior to what even the most advanced human-engineered vehicles operating in the same…

Fluid Dynamics · Physics 2021-12-21 Christoph Busch , Alexander Gehrke , Karen Mulleners

Motion planning for multi-jointed robots is challenging. Due to the inherent complexity of the problem, most existing works decompose motion planning as easier subproblems. However, because of the inconsistent performance metrics, only…

Robotics · Computer Science 2018-10-11 Yu Zhao , Hsien-Chung Lin , Masayoshi Tomizuka

Sampling-based methods are widely adopted solutions for robot motion planning. The methods are straightforward to implement, effective in practice for many robotic systems. It is often possible to prove that they have desirable properties,…

Robotics · Computer Science 2022-11-16 Troy McMahon , Aravind Sivaramakrishnan , Edgar Granados , Kostas E. Bekris

Robots are ubiquitous in small-to-large-scale manufacturers. While collaborative robots (cobots) have significant potential in these settings due to their flexibility and ease of use, proper integration is critical to realize their full…

Robotics · Computer Science 2024-01-12 Dakota Sullivan , Nathan Thomas White , Andrew Schoen , Bilge Mutlu

The motion-and-time analysis has been a popular research topic in operations research, especially for analyzing work performances in manufacturing and service operations. It is regaining attention as continuous improvement tools for lean…

Computer Vision and Pattern Recognition · Computer Science 2020-08-26 Chiwoo Park , Sang Do Noh , Anuj Srivastava

Humans use collaborative robots as tools for accomplishing various tasks. The interaction between humans and robots happens in tight shared workspaces. However, these machines must be safe to operate alongside humans to minimize the risk of…

Robotics · Computer Science 2024-05-21 Stanley Mugisha , Vamsi Krishna Guda , Christine Chevallereau , Damien Chablat , Matteo Zoppi

Robots in shared spaces often move in ways that are difficult for people to interpret, placing the burden on humans to adapt. High-DoF robots exhibit motion that people read as expressive, intentionally or not, making it important to…

Robotics · Computer Science 2026-04-07 Jonathan Albert Cohen , Kye Shimizu , Allen Song , Vishnu Bharath , Kent Larson , Pattie Maes

Benchmarking provides experimental evidence of the scientific baseline to enhance the progression of fundamental research, which is also applicable to robotics. In this paper, we propose a method to benchmark metrics of robotic…

Robotics · Computer Science 2023-06-09 Xiaobo Liu , Fang Wan , Sheng Ge , Haokun Wang , Haoran Sun , Chaoyang Song

When a human dyad jointly manipulates an object, they must communicate about their intended motion plans. Some of that collaboration is achieved through the motion of the manipulated object itself, which we call "haptic communication." In…

Robotics · Computer Science 2025-09-24 Katherine H. Allen , Chris Rogers , Elaine S. Short

Feature matching is one of the most fundamental and active research areas in computer vision. A comprehensive evaluation of feature matchers is necessary, since it would advance both the development of this field and also high-level…

Computer Vision and Pattern Recognition · Computer Science 2018-08-08 JiaWang Bian , Ruihan Yang , Yun Liu , Le Zhang , Ming-Ming Cheng , Ian Reid , WenHai Wu

We propose a general framework for creating parameterized control schemes for decentralized multi-robot systems. A variety of tasks can be seen in the decentralized multi-robot literature, each with many possible control schemes. For…

Robotics · Computer Science 2022-03-24 Stephen Jacobs , R. Michael Butts , Yu Gu , Ali Baheri , Guilherme A. S. Pereira
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