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Socially-aware robotic navigation is essential in environments where humans and robots coexist, ensuring both safety and comfort. However, most existing approaches have been primarily developed for mobile robots, leaving a significant gap…

Robotics · Computer Science 2025-06-18 Caio C. G. Ribeiro , Leonardo R. D. Paes , Douglas G. Macharet

Cooperative object transportation using multiple robots has been intensively studied in the control and robotics literature, but most approaches are either only applicable to omnidirectional robots or lack a complete navigation and…

Robotics · Computer Science 2023-07-24 Bingyi Xia , Hao Luan , Ziqi Zhao , Xuheng Gao , Peijia Xie , Anxing Xiao , Jiankun Wang , Max Q. -H. Meng

This paper addresses the problem of cooperative transportation of an object rigidly grasped by $N$ robotic agents. In particular, we propose a Nonlinear Model Predictive Control (NMPC) scheme that guarantees the navigation of the object to…

In robotic deformable object manipulation (DOM) applications, constraints arise commonly from environments and task-specific requirements. Enabling DOM with constraints is therefore crucial for its deployment in practice. However, dealing…

Robotics · Computer Science 2024-02-20 Jing Huang , Xiangyu Chu , Xin Ma , Kwok Wai Samuel Au

Continuous-time control of multiple quadrotors in constrained environments under signal temporal logic (STL) specifications is critical due to their nonlinear dynamics, safety constraints, and the requirement to ensure continuous-time…

Systems and Control · Electrical Eng. & Systems 2026-03-31 Yating Yuan , Yu Liu

The paper considers a motion control problem for kinematic models of nonholonomic wheeled systems. The class of maneuverable wheeled systems is defined consisting of systems that can follow any sufficiently smooth non-stop trajectory on the…

Optimization and Control · Mathematics 2007-05-23 Sergei V. Gusev , Igor A. Makarov

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…

Robotics · Computer Science 2023-11-17 Courtney McBeth , James Motes , Diane Uwacu , Marco Morales , Nancy M. Amato

Mapping operator motions to a robot is a key problem in teleoperation. Due to differences between workspaces, such as object locations, it is particularly challenging to derive smooth motion mappings that fulfill different goals (e.g.…

Robotics · Computer Science 2022-06-02 Xiao Gao , João Silvério , Emmanuel Pignat , Sylvain Calinon , Miao Li , Xiaohui Xiao

This paper presents a new trajectory replanner for grasping irregular objects. Unlike conventional grasping tasks where the object's geometry is assumed simple, we aim to achieve a "dynamic grasp" of the irregular objects, which requires…

Robotics · Computer Science 2025-01-31 Minh Nhat Vu , Florian Grander , Anh Nguyen

Object manipulation has been extensively studied in the context of fixed base and mobile manipulators. However, the overactuated locomotion modality employed by snake robots allows for a unique blend of object manipulation through…

In this paper, we describe a robust multi-drone planning framework for high-speed trajectories in large scenes. It uses a free-space-oriented map to free the optimization from cumbersome environment data. A capsule-like safety constraint is…

Robotics · Computer Science 2021-09-20 Zhepei Wang , Chao Xu , Fei Gao

We introduce a framework for cooperative manipulation, applied on an underactuated manipulation problem. Two stationary robotic manipulators are required to cooperate in order to reposition an object within their shared work space. Control…

Robotics · Computer Science 2023-02-23 Sander De Witte , Tom Lefebvre , Thijs Van Hauwermeiren , Guillaume Crevecoeur

This paper investigates a fully distributed cooperation scheme for networked mobile manipulators. To achieve cooperative task allocation in a distributed way, an adaptation-based estimation law is established for each robotic agent to…

Robotics · Computer Science 2020-01-31 Yi Ren , Sandra Hirche

Multiple object tracking in complex scenarios - such as coordinated dance performances, team sports, or dynamic animal groups - presents unique challenges. In these settings, objects frequently move in coordinated patterns, occlude each…

Computer Vision and Pattern Recognition · Computer Science 2024-10-03 Mattia Segu , Luigi Piccinelli , Siyuan Li , Yung-Hsu Yang , Bernt Schiele , Luc Van Gool

A significant challenge in manipulation motion planning is to ensure agility in the face of unpredictable changes during task execution. This requires the identification and possible modification of suitable joint-space trajectories, since…

Robotics · Computer Science 2020-05-05 Filip Marić , Oliver Limoyo , Luka Petrović , Trevor Ablett , Ivan Petrović , Jonathan Kelly

We address multi-robot geometric task-and-motion planning (MR-GTAMP) problems in synchronous, monotone setups. The goal of the MR-GTAMP problem is to move objects with multiple robots to goal regions in the presence of other movable…

Robotics · Computer Science 2022-10-18 Hejia Zhang , Shao-Hung Chan , Jie Zhong , Jiaoyang Li , Sven Koenig , Stefanos Nikolaidis

Mobile manipulators consist of a mobile platform equipped with one or more robot arms and are of interest for a wide array of challenging tasks because of their extended workspace and dexterity. Typically, mobile manipulators are deployed…

Robotics · Computer Science 2020-03-18 Ke Dong , Karime Pereida , Florian Shkurti , Angela P. Schoellig

This paper addresses the problem of cooperative object transportation for multiple Underwater Vehicle Manipulator Systems (UVMSs) in a constrained workspace with static obstacles, where the coordination relies solely on implicit…

We address prehensile pushing, the problem of manipulating a grasped object by pushing against the environment. Our solution is an efficient nonlinear trajectory optimization problem relaxed from an exact mixed integer non-linear trajectory…

Robotics · Computer Science 2025-03-19 Patrizio Perugini , Jens Lundell , Katharina Friedl , Danica Kragic

This paper presents a method for online trajectory planning in known environments. The proposed algorithm is a fusion of sampling-based techniques and model-based optimization via quadratic programming. The former is used to efficiently…