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相关论文: Instabilities of Robot Motion

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In this paper we combine a survey of the most important topological properties of kinematic maps that appear in robotics, with the exposition of some basic results regarding the topological complexity of a map. In particular, we discuss…

代数拓扑 · 数学 2017-07-14 Petar Pavešić

Motion planning is a difficult problem in robot control. The complexity of the problem is directly related to the dimension of the robot's configuration space. While in many theoretical calculations and practical applications the…

机器人学 · 计算机科学 2020-05-26 Felix Wiebe , Shivesh Kumar , Daniel Harnack , Malte Langosz , Hendrik Wöhrle , Frank Kirchner

We study the problem of bipedal robot navigation in complex environments with uncertain and rough terrain. In particular, we consider a scenario in which the robot is expected to reach a desired goal location by traversing an environment…

机器人学 · 计算机科学 2024-04-16 Kasidit Muenprasitivej , Jesse Jiang , Abdulaziz Shamsah , Samuel Coogan , Ye Zhao

In terms of Rudyak's generalization of Farber's topological complexity of the path motion planning problem in robotics, we give a complete description of the topological instabilities in any sequential motion planning algorithm for a system…

代数拓扑 · 数学 2014-01-13 Jesus Gonzalez , Mark Grant

The Topological complexity a la Farber $\text{TC}(-)$ is a homotopy invariant which have interesting applications in Robotics, specifically, in the robot motion planning problem. In this work we calculate the topological complexity of the…

代数拓扑 · 数学 2019-11-12 Cesar A. Ipanaque Zapata

Autonomous motion of a system (robot) is controlled by a motion planning algorithm. A sequential parametrized motion planning algorithm \cite{FP22} works under variable external conditions and generates continuous motions of the system to…

代数拓扑 · 数学 2023-08-22 Michael Farber , Amit Kumar Paul

In this series of papers, we present a motion planning framework for planning comfortable and customizable motion of nonholonomic mobile robots such as intelligent wheelchairs and autonomous cars. In this first one we present the…

机器人学 · 计算机科学 2013-05-23 Shilpa Gulati , Chetan Jhurani , Benjamin Kuipers

We study the topological complexity of work maps with respect to some subspaces of the configuration space and a workspace considered as the target set of the motion of robots. The motivation is to optimize and reduce the number of motion…

代数拓扑 · 数学 2022-09-15 Seyed Abolfazl Aghili , Hanieh Mirebrahimi , Ameneh Babaee

Multi-robot motion planning (MRMP) is the problem of finding collision-free paths for a set of robots in a continuous state space. The difficulty of MRMP increases with the number of robots and is exacerbated in environments with narrow…

机器人学 · 计算机科学 2023-11-17 Courtney McBeth , James Motes , Diane Uwacu , Marco Morales , Nancy M. Amato

The topological complexity TC(X) is a numerical homotopy invariant of a topological space X which is motivated by robotics and is similar in spirit to the classical Lusternik-Schnirelmann category of X. Given a mechanical system with…

代数拓扑 · 数学 2011-04-04 Daniel C. Cohen , Michael Farber

Planning for multi-robot teams in complex environments is a challenging problem, especially when these teams must coordinate to accomplish a common objective. In general, optimal solutions to these planning problems are computationally…

机器人学 · 计算机科学 2024-03-07 Cora A. Dimmig , Kevin C. Wolfe , Joseph Moore

Learning motion planners to move robot from one point to another within an obstacle-occupied space in a collision-free manner requires either an extensive amount of data or high-quality demonstrations. This requirement is caused by the fact…

机器人学 · 计算机科学 2020-10-20 Xuesu Xiao , Bo Liu , Peter Stone

Mobile robots, especially those driving outdoors and in unstructured terrain, sometimes suffer from failures and errors in locomotion, like unevenly pressurized or flat tires, loose axes or de-tracked tracks. Those are errors that go…

机器人学 · 计算机科学 2020-05-12 Xiaoling Long , Sören Schwertfeger

The complexity of algorithms solving the motion planning problem is measured by a homotopy invariant TC(X) of the configuration space X of the system. Previously known lower bounds for TC(X) use the structure of the cohomology algebra of X.…

代数拓扑 · 数学 2007-07-07 Michael Farber , Mark Grant

Traditional multi-robot motion planning (MMP) focuses on computing trajectories for multiple robots acting in an environment, such that the robots do not collide when the trajectories are taken simultaneously. In safety-critical…

机器人学 · 计算机科学 2023-03-15 Justin Kottinger , Shaull Almagor , Morteza Lahijanian

This paper proposes a formal robot motion risk reasoning framework and develops a risk-aware path planner that minimizes the proposed risk. While robots locomoting in unstructured or confined environments face a variety of risk, existing…

机器人学 · 计算机科学 2019-09-12 Xuesu Xiao , Jan Dufek , Robin Murphy

We study an extensive class of movement minimization problems which arise from many practical scenarios but so far have little theoretical study. In general, these problems involve planning the coordinated motion of a collection of agents…

数据结构与算法 · 计算机科学 2015-03-20 Erik D. Demaine , MohammadTaghi Hajiaghayi , Dániel Marx

The main objective of this paper is to introduce a new method for qualitative analysis of various designs of robot arms. To this end we define the complexity of a map, examine its main properties and develop some methods of computation. In…

代数拓扑 · 数学 2017-08-03 Petar Pavešić

This paper develops a planner to find an optimal assembly sequence to assemble several objects. The input to the planner is the mesh models of the objects, the relative poses between the objects in the assembly, and the final pose of the…

机器人学 · 计算机科学 2016-09-13 Weiwei Wan , Kensuke Harada , Kazuyuki Nagata

We study motion planning algorithms for collision free control of multiple objects in the presence of moving obstacles. We compute the topological complexity of algorithms solving this problem. We apply topological tools and use information…

最优化与控制 · 数学 2007-05-23 Michael Farber , Mark Grant , Sergey Yuzvinsky