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相关论文: Topological robotics: motion planning in projectiv…

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This paper is concerned with problems relevant to motion planning in robotics. Configuration spaces are of practical relevance in designing safe control schemes for robots moving on a track. The topological complexity of a configuration…

代数拓扑 · 数学 2019-05-02 Allaoua Boughrira , Hellen Colman

Despite the attention that the problem of path planning for tethered robots has garnered in the past few decades, the approaches proposed to solve it typically rely on a discrete representation of the configuration space and do not exploit…

机器人学 · 计算机科学 2025-12-09 Gianpietro Battocletti , Dimitris Boskos , Bart De Schutter

It has been observed that the very important motion planning problem of robotics mathematically speaking boils down to the problem of finding a section to the path-space fibration, raising the notion of topological complexity, as introduced…

代数拓扑 · 数学 2018-12-27 Eric Goubault , Michael Farber , Aurélien Sagnier

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

The topological complexity of a path-connected space $X,$ denoted $TC(X),$ can be thought of as the minimum number of continuous rules needed to describe how to move from one point in $X$ to another. The space $X$ is often interpreted as a…

代数拓扑 · 数学 2018-03-16 Steven Scheirer

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

We introduce the topological complexity of the work map associated to a robot system. In broad terms, this measures the complexity of any algorithm controlling, not just the motion of the configuration space of the given system, but the…

代数拓扑 · 数学 2019-01-30 Aniceto Murillo , Jie Wu

In this paper we generalize the discrete r-homotopy to the discrete (s, r)-homotopy. Then by this notion, we introduce the discrete motion planning for robots which can move discreetly. Moreover, in this case the number of motion planning,…

代数拓扑 · 数学 2024-08-13 Hadi Hassanzada , Hamid Torabi , 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

We study the problem of motion planning for a collection of $n$ labeled unit disc robots in a polygonal environment. We assume that the robots have revolving areas around their start and final positions: that each start and each final is…

机器人学 · 计算机科学 2023-06-16 Pankaj K. Agarwal , Tzvika Geft , Dan Halperin , Erin Taylor

The Lusternik-Schnirelmann category cat and topological complexity TC are related homotopy invariants. The topological complexity TC has applications to the robot motion planning problem. We calculate the Lusternik-Schnirelmann category and…

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

In this paper we study paramertized motion planning algorithms which provide universal and flexible solutions to diverse motion planning problems. Such algorithms are intended to function under a variety of external conditions which are…

机器人学 · 计算机科学 2022-02-24 Michael Farber , Shmuel Weinberger

Motion path planning is an intrinsically geometric problem which is central for design of robot systems. Since the early years of AI, robotics together with computer vision have been the areas of computer science that drove its development.…

代数拓扑 · 数学 2024-03-20 Boris Goldfarb

We study computationally-hard fundamental motion planning problems where the goal is to translate $k$ axis-aligned rectangular robots from their initial positions to their final positions without collision, and with the minimum number of…

计算几何 · 计算机科学 2024-03-05 Iyad Kanj , Salman Parsa

In this paper, we approach the challenging problem of motion planning for knot tying. We propose a hierarchical approach in which the top layer produces a topological plan and the bottom layer translates this plan into continuous robot…

机器人学 · 计算机科学 2020-10-07 Mengyuan Yan , Gen Li , Yilin Zhu , Jeannette Bohg

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

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

Let X be a subcomplex of the standard CW-decomposition of the n-dimensional torus. We exhibit an explicit optimal motion planning algorithm for X. This construction is used to calculate the topological complexity of complements of general…

几何拓扑 · 数学 2008-12-31 Daniel C. Cohen , Goderdzi Pruidze

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

This paper presents a method for planning a trajectory in workspace coordinates using a spatially fixed tool center point (TCP), while taking into account the processing path on a part. This approach is beneficial if it is easier to move…

机器人学 · 计算机科学 2025-10-24 Bernhard Rameder , Hubert Gattringer , Andreas Mueller , Ronald Naderer