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To control how a robot moves, motion planning algorithms must compute paths in high-dimensional state spaces while accounting for physical constraints related to motors and joints, generating smooth and stable motions, avoiding obstacles,…

This paper presents an online informative path planning approach for active information gathering on three-dimensional surfaces using aerial robots. Most existing works on surface inspection focus on planning a path offline that can provide…

机器人学 · 计算机科学 2021-03-18 Hai Zhu , Jen Jen Chung , Nicholas R. J. Lawrance , Roland Siegwart , Javier Alonso-Mora

Path planning is an important problem with the the applications in many aspects, such as video games, robotics etc. This paper proposes a novel method to address the problem of Deep Reinforcement Learning (DRL) based path planning for a…

机器人学 · 计算机科学 2024-04-11 Hao Liu , Yi Shen , Shuangjiang Yu , Zijun Gao , Tong Wu

As the demands of autonomous mobile robots are increasing in recent years, the requirement of the path planning/navigation algorithm should not be content with the ability to reach the target without any collisions, but also should try to…

机器人学 · 计算机科学 2021-10-05 Jian Zhang

This paper presents a method for constrained motion planning from vision, which enables a robot to move its end-effector over an observed surface, given start and destination points. The robot has no prior knowledge of the surface shape,…

机器人学 · 计算机科学 2020-06-23 T. Pardi , V. Ortenzi , C. Fairbairn , T. Pipe , A. M. Ghalamzan E. , R. Stolkin

In robotic applications, a key requirement for safe and efficient motion planning is the ability to map obstacle-free space in unknown, cluttered 3D environments. However, commodity-grade RGB-D cameras commonly used for sensing fail to…

Industrial robots are widely used in various manufacturing environments due to their efficiency in doing repetitive tasks such as assembly or welding. A common problem for these applications is to reach a destination without colliding with…

机器人学 · 计算机科学 2023-01-18 Teham Bhuiyan , Linh Kästner , Yifan Hu , Benno Kutschank , Jens Lambrecht

In this paper we tackle the problem of persistently covering a complex non-convex environment with a team of robots. We consider scenarios where the coverage quality of the environment deteriorates with time, requiring to constantly revisit…

机器人学 · 计算机科学 2024-01-25 José Manuel Palacios-Gasós , Danilo Tardioli , Eduardo Montijano , Carlos Sagüés

Quadruped platforms have become an active topic of research due to their high mobility and traversability in rough terrain. However, it is highly challenging to determine whether the clattered environment could be passed by the robot and…

机器人学 · 计算机科学 2022-09-22 Ildar Babataev , Aleksey Fedoseev , Nipun Weerakkodi , Elena Nazarova , Dzmitry Tsetserukou

Lengthy setup processes that require robotics expertise remain a major barrier to deploying robots for tasks involving high product variability and small batch sizes. As a result, collaborative robots, despite their advanced sensing and…

机器人学 · 计算机科学 2025-12-30 Christoph Willibald , Lugh Martensen , Thomas Eiband , Dongheui Lee

This paper considers deployment problems where a mobile robotic network must optimize its configuration in a distributed way in order to minimize a steady-state cost function that depends on the spatial distribution of certain probabilistic…

最优化与控制 · 数学 2012-08-20 Jerome Le Ny , George J. Pappas

Coverage Path Planning involves visiting every unoccupied state in an environment with obstacles. In this paper, we explore this problem in environments which are initially unknown to the agent, for purposes of simulating the task of a…

机器人学 · 计算机科学 2022-10-12 Robert Chuchro

Safe and efficient path planning is crucial for autonomous mobile robots. A prerequisite for path planning is to have a comprehensive understanding of the 3D structure of the robot's environment. On MAVs this is commonly achieved using…

机器人学 · 计算机科学 2019-11-15 Marius Fehr , Tim Taubner , Yang Liu , Roland Siegwart , Cesar Cadena

We consider path planning for a rigid spatial robot with 6 degrees of freedom (6 DOFs), moving amidst polyhedral obstacles. A correct, complete and practical path planner for such a robot has never been achieved, although this is widely…

机器人学 · 计算机科学 2024-12-31 Zhaoqi Zhang , Yi-Jen Chiang , Chee Yap

The ability to automatically encircle boundaries with mobile robots is crucial for tasks such as border tracking and object enclosing. Previous research has primarily focused on regular boundaries, often assuming that their geometric…

机器人学 · 计算机科学 2025-01-07 Yuan Tian , Bin Zhang , Xiaodong Shao , David Navarro-Alarcon

The multi-robot coverage problem is an essential building block for systems that perform tasks like inspection or search and rescue. We discretize the coverage problem to induce a spatial graph of locations and represent robots as nodes in…

机器人学 · 计算机科学 2021-08-02 Ekaterina Tolstaya , James Paulos , Vijay Kumar , Alejandro Ribeiro

In the literature, a distributed consensus protocol by which a connected swarm of agents can generate artistic patterns in 2-dimensional space is proposed. Motivated by this protocol, in this paper, we design the parameters of this protocol…

机器人学 · 计算机科学 2023-11-21 Adil Shiyas , Sachit Rao

This paper presents a novel on-line path planning method that enables aerial robots to interact with surfaces. We present a solution to the problem of finding trajectories that drive a robot towards a surface and move along it. Triangular…

机器人学 · 计算机科学 2021-02-23 Michael Pantic , Lionel Ott , Cesar Cadena , Roland Siegwart , Juan Nieto

Navigation in complex 3D scenarios requires appropriate environment representation for efficient scene understanding and trajectory generation. We propose a highly efficient and extensible global navigation framework based on a tomographic…

机器人学 · 计算机科学 2024-03-13 Bowen Yang , Jie Cheng , Bohuan Xue , Jianhao Jiao , Ming Liu

Recent advancements in robotics have transformed industries such as manufacturing, logistics, surgery, and planetary exploration. A key challenge is developing efficient motion planning algorithms that allow robots to navigate complex…

机器人学 · 计算机科学 2025-08-27 Liding Zhang , Kuanqi Cai , Zewei Sun , Zhenshan Bing , Chaoqun Wang , Luis Figueredo , Sami Haddadin , Alois Knoll