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Perching with winged Unmanned Aerial Vehicles has often been solved by means of complex control or intricate appendages. Here, we present a simple yet novel method that relies on passive wing morphing for crash-landing on trees and other…

Planning trajectories for nonholonomic systems is difficult and computationally expensive. When facing unexpected events, it may therefore be preferable to deform in some way the initially planned trajectory rather than to re-plan entirely…

机器人学 · 计算机科学 2011-05-31 Quang-Cuong Pham

In this paper we present a method for automatically planning optimal paths for a group of robots that satisfy a common high level mission specification. Each robot's motion in the environment is modeled as a weighted transition system. The…

机器人学 · 计算机科学 2015-03-13 Alphan Ulusoy , Stephen L. Smith , Xu Chu Ding , Calin Belta , Daniela Rus

This work considers a Motion Planning Problem with Dynamic Obstacles (MPDO) in 2D that requires finding a minimum-arrival-time collision-free trajectory for a point robot between its start and goal locations amid dynamic obstacles moving…

机器人学 · 计算机科学 2022-06-03 Zhongqiang Ren , Sivakumar Rathinam , Howie Choset

We propose a method to generate actuation plans for a reduced order, dynamic model of bipedal running. This method explicitly enforces robustness to ground uncertainty. The plan generated is not a fixed body trajectory that is aggressively…

机器人学 · 计算机科学 2020-01-30 Kevin Green , Ross L. Hatton , Jonathan Hurst

The dipteran flight mechanism of the insects is commonly used to design the nonlinear flight robot system. However, the dynamic response of the click mechanism of the nonlinear robot system with multiple stability still unclear. In this…

机器人学 · 计算机科学 2024-01-02 Yanwei Han , Zijian Zhang

The 3D flight control of a flapping wing robot is a very challenging problem. The robot stabilizes and controls its pose through the aerodynamic forces acting on the wing membrane which has complex dynamics and it is difficult to develop a…

机器人学 · 计算机科学 2024-05-10 Bibek Gupta , Yogi Shah , Taoran Liu , Eric Sihite , Alireza Ramezani

We focus on the task of object manipulation to an arbitrary goal pose, in which a robot is supposed to pick an assigned object to place at the goal position with a specific orientation. However, limited by the execution space of the…

机器人学 · 计算机科学 2022-03-01 Kechun Xu , Hongxiang Yu , Renlang Huang , Dashun Guo , Yue Wang , Rong Xiong

This paper presents a multi-contact motion adaptation framework that enables teleoperation of high degree-of-freedom (DoF) robots, such as quadrupeds and humanoids, for loco-manipulation tasks in multi-contact settings. Our proposed…

机器人学 · 计算机科学 2022-06-02 Quentin Rouxel , Kai Yuan , Ruoshi Wen , Zhibin Li

In this paper, we present a method to initialize at a feasible point and unfailingly solve a non-convex optimization problem in which a set-point motion is planned for a multi-link manipulator under state and control constraints. We…

系统与控制 · 计算机科学 2017-03-16 Keisuke Uto , Makoto Obayashi , Gaku Takano

Planning a time-optimal trajectory for aerial robots is critical in many drone applications, such as rescue missions and package delivery, which have been widely researched in recent years. However, it still involves several challenges,…

机器人学 · 计算机科学 2022-09-02 Wei Luo , Jingshan Chen , Henrik Ebel , Peter Eberhard

In this paper, we propose a novel approach on controlling wheel-legged quadrupedal robots using pose optimization and force control via quadratic programming (QP). Our method allows the robot to leverage the whole-body motion and the wheel…

机器人学 · 计算机科学 2022-03-11 Junheng Li , Junchao Ma , Quan Nguyen

Motion planning is a crucial aspect of robot autonomy as it involves identifying a feasible motion path to a destination while taking into consideration various constraints, such as input, safety, and performance constraints, without…

机器人学 · 计算机科学 2023-06-14 Dengyu Zhang , Guobin Zhu , Qingrui Zhang

Motion planning for a multi-limbed climbing robot must consider the robot's posture, joint torques, and how it uses contact forces to interact with its environment. This paper focuses on motion planning for a robot that uses nontraditional…

机器人学 · 计算机科学 2022-09-23 Stephanie Newdick , Nitin Ongole , Tony G. Chen , Edward Schmerling , Mark R. Cutkosky , Marco Pavone

This technical report addresses the problem of optimal surveillance of the route followed by a dynamic parade using a team of aerial robots. The dynamic parade is considered to take place within an urban environment, it is discretized and…

机器人学 · 计算机科学 2017-01-03 Kostas Alexis

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

This paper proposes a combined task and motion planner for a dual-arm robot to use a suction cup tool. The planner consists of three sub-planners -- A suction pose sub-planner and two regrasp and motion sub-planners. The suction pose…

机器人学 · 计算机科学 2019-09-04 Hao Chen , Weiwei Wan , Kensuke Harada

In this paper, a kinematic motion planning algorithm for cooperative spatial payload manipulation is presented. A hierarchical approach is introduced to compute real-time collision-free motion plans for a formation of mobile manipulator…

On-orbit servicing represents a critical frontier in future aerospace engineering, with the manipulation of dynamic non-cooperative targets serving as a key technology. In microgravity environments, objects are typically free-floating,…

机器人学 · 计算机科学 2026-03-31 Siyi Lang , Hongyi Gao , Yingxin Zhang , Zihao Liu , Hanlin Dong , Zhaoke Ning , Zhiqiang Ma , Panfeng Huang

Contact-based decision and planning methods are becoming increasingly important to endow higher levels of autonomy for legged robots. Formal synthesis methods derived from symbolic systems have great potential for reasoning about high-level…

机器人学 · 计算机科学 2022-01-04 Ye Zhao , Yinan Li , Luis Sentis , Ufuk Topcu , Jun Liu