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This paper addresses the problem of optimizing communicated information among heterogeneous, resource-aware robot teams to facilitate their navigation. In such operations, a mobile robot compresses its local map to assist another robot in…

机器人学 · 计算机科学 2025-03-17 Evangelos Psomiadis , Ali Reza Pedram , Dipankar Maity , Panagiotis Tsiotras

The control of free-floating robots requires dealing with several challenges. The motion of such robots evolves on a continuous manifold described by the Special Euclidean Group of dimension 3, known as SE(3). Methods from finite horizon…

机器人学 · 计算机科学 2023-07-27 Shivesh Kumar , Andreas Mueller , Patrick Wensing , Frank Kirchner

Efficient robotic exploration of unknown, sensor limited, global-information-deficient environments poses unique challenges to path planning algorithms. In these difficult environments, no deterministic guarantees on path completion and…

机器人学 · 计算机科学 2017-05-01 Alexander Ivanov , Mark Campbell

A single nonholonomic under-actuated mobile robot with a bounded control range travels in a 3D workspace. This workspace also hosts a compact unknown domain with a smooth boundary. The robot has access to the horizontal distance to this…

最优化与控制 · 数学 2016-05-10 Alexey S. Matveev , Kirill S. Ovchinnikov , Andrey V. Savkin

Grasping in a densely cluttered environment is a challenging task for robots. Previous methods tried to solve this problem by actively gathering multiple views before grasp pose generation. However, they either overlooked the importance of…

机器人学 · 计算机科学 2025-11-18 Boshu Lei , Wen Jiang , Kostas Daniilidis

This work addresses the problem of risk-sensitive control for nonlinear systems with imperfect state observations, extending results for the linear case. In particular, we derive an algorithm that can compute local solutions with…

最优化与控制 · 数学 2021-10-22 Bilal Hammoud , Armand Jordana , Ludovic Righetti

We address the problem of controlling a mobile robot to explore a partially known environment. The robot's objective is the maximization of the amount of information collected about the environment. We formulate the problem as a partially…

机器人学 · 计算机科学 2017-03-08 Mikko Lauri , Risto Ritala

Autonomous exploration in unknown environments remains a fundamental challenge in robotics, particularly for applications such as search and rescue, industrial inspection, and planetary exploration. Multi-robot active SLAM presents a…

机器人学 · 计算机科学 2025-05-20 Muhammad Farhan Ahmed , Matteo Maragliano , Vincent Frémont , Carmine Tommaso Recchiuto

Motion planning and control are crucial components of robotics applications like automated driving. Here, spatio-temporal hard constraints like system dynamics and safety boundaries (e.g., obstacles) restrict the robot's motions. Direct…

机器人学 · 计算机科学 2023-08-29 Christopher Diehl , Janis Adamek , Martin Krüger , Frank Hoffmann , Torsten Bertram

In this paper, we develop an online active mapping system to enable a quadruped robot to autonomously survey large physical structures. We describe the perception, planning and control modules needed to scan and reconstruct an object of…

机器人学 · 计算机科学 2020-02-25 Yiduo Wang , Milad Ramezani , Maurice Fallon

While visual localization or SLAM has witnessed great progress in past decades, when deploying it on a mobile robot in practice, few works have explicitly considered the kinematic (or dynamic) constraints of the real robotic system when…

机器人学 · 计算机科学 2019-11-15 Xingxing Zuo , Mingming Zhang , Yiming Chen , Yong Liu , Guoquan Huang , Mingyang Li

Radio maps find numerous applications in wireless communications and mobile robotics tasks, including resource allocation, interference coordination, and mission planning. Although numerous techniques have been proposed to construct radio…

信号处理 · 电气工程与系统科学 2022-01-14 Raju Shrestha , Daniel Romero , Sundeep Prabhakar Chepuri

Rapidly-exploring Random Trees (RRT) and its variations have emerged as a robust and efficient tool for finding collision-free paths in robotic systems. However, adding dynamic constraints makes the motion planning problem significantly…

机器人学 · 计算机科学 2024-03-19 Joaquim Ortiz-Haro , Wolfgang Hönig , Valentin N. Hartmann , Marc Toussaint , Ludovic Righetti

In this paper we present a novel approach for representing and evolving deformable active contours. The method combines piecewise regular B{\'e}zier models and curve evolution defined by local Free Form Deformation. The contour deformation…

机器人学 · 计算机科学 2016-06-16 Ouiddad Labbani I. , Pauline Merveilleux O , Olivier Ruatta

Accurate reconstruction of the environment is a central goal of Simultaneous Localization and Mapping (SLAM) systems. However, the agent's trajectory can significantly affect estimation accuracy. This paper presents a new method to model…

机器人学 · 计算机科学 2025-06-24 Sebastian Sansoni , Javier Gimenez , Gastón Castro , Santiago Tosetti , Flavio Craparo

Soil moisture monitoring is a fundamental process to enhance agricultural outcomes and to protect the environment. The traditional methods for measuring moisture content in soil are laborious and expensive, and therefore there is a growing…

机器人学 · 计算机科学 2018-11-14 Jaime Pulido Fentanes , Amir Badiee , Tom Duckett , Jonathan Evans , Simon Pearson , Grzegorz Cielniak

Accurate traversability estimation is essential for safe and effective navigation of outdoor robots operating in complex environments. This paper introduces a novel experience-based method that allows robots to autonomously learn which…

Robotic systems performing end-user oriented autonomous exploration can be deployed in different scenarios which not only require mapping but also simultaneous inspection of regions of interest for the end-user. In this work, we propose a…

机器人学 · 计算机科学 2022-03-22 Menaka Naazare , Francisco Garcia Rosas , Dirk Schulz

This paper presents a strategy to guide a mobile ground robot equipped with a camera or depth sensor, in order to autonomously map the visible part of a bounded three-dimensional structure. We describe motion planning algorithms that…

机器人学 · 计算机科学 2017-11-15 Manikandasriram Srinivasan Ramanagopal , André Phu-Van Nguyen , Jerome Le Ny

Task specification for robotic manipulation in open-world environments is challenging, requiring flexible and adaptive objectives that align with human intentions and can evolve through iterative feedback. We introduce Iterative Keypoint…