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We explore how high-speed robot arm motions can dynamically manipulate cables to vault over obstacles, knock objects from pedestals, and weave between obstacles. In this paper, we propose a self-supervised learning framework that enables a…

Robotics · Computer Science 2024-05-03 Harry Zhang , Jeffrey Ichnowski , Daniel Seita , Jonathan Wang , Huang Huang , Ken Goldberg

This paper presents a neural-network based adaptive feedback control structure to regulate the velocity of 3D bipedal robots under dynamics uncertainties. Existing Hybrid Zero Dynamics (HZD)-based controllers regulate velocity through the…

Robotics · Computer Science 2020-08-04 Guillermo A. Castillo , Bowen Weng , Terrence C. Stewart , Wei Zhang , Ayonga Hereid

Visual-inertial systems rely on precise calibrations of both camera intrinsics and inter-sensor extrinsics, which typically require manually performing complex motions in front of a calibration target. In this work we present a novel…

Learning from humans allows non-experts to program robots with ease, lowering the resources required to build complex robotic solutions. Nevertheless, such data-driven approaches often lack the ability to provide guarantees regarding their…

Robotics · Computer Science 2023-06-30 Rodrigo Pérez-Dattari , Jens Kober

This study presents mechatronic design, dynamic modeling, simulations and real-time control experiments of a new movable scaffolding system. The proposed system consists of a 3 degrees-of-freedom movable platform, which can be positioned on…

Systems and Control · Electrical Eng. & Systems 2025-12-02 M. Özgün Güleç , Koray K. Şafak

Guidance robots that can guide people and avoid various obstacles, could potentially be owned by more visually impaired people at a fairly low cost. Most of the previous guidance robots for the visually impaired ignored the human response…

Robotics · Computer Science 2023-06-26 Yanbo Chen , Zhengzhe Xu , Zhuozhu Jian , Gengpan Tang , Yunong Yangli , Anxing Xiao , Xueqian Wang , Bin Liang

Deep reinforcement learning (RL) has made it possible to solve complex robotics problems using neural networks as function approximators. However, the policies trained on stationary environments suffer in terms of generalization when…

Robotics · Computer Science 2021-11-09 Aditya M. Deshpande , Ali A. Minai , Manish Kumar

In this paper, we present a novel cascade control structure with formal guarantees of uniform almost global asymptotic stability for the state tracking error dynamics of a quadcopter. The proposed approach features a model predictive…

Systems and Control · Electrical Eng. & Systems 2024-12-31 Maedeh Izadi , A. T. J. R. Cobbenhagen , Ruben Sommer , A. R. P. Andriën , Erjen Lefeber , W. P. M. H. Heemels

This work explores the potential of using differentiable simulation for learning quadruped locomotion. Differentiable simulation promises fast convergence and stable training by computing low-variance first-order gradients using robot…

Robotics · Computer Science 2024-10-16 Yunlong Song , Sangbae Kim , Davide Scaramuzza

Service robots have demonstrated significant potential for autonomous trolley collection and redistribution in public spaces like airports or warehouses to improve efficiency and reduce cost. Usually, a fully autonomous system for the…

Robotics · Computer Science 2026-03-03 Yuhan Pang , Bingyi Xia , Zhe Zhang , Zhirui Sun , Peijia Xie , Bike Zhu , Wenjun Xu , Jiankun Wang

Collaborative robots and space manipulators contain significant joint flexibility. It complicates the control design, compromises the control bandwidth, and limits the tracking accuracy. The imprecise knowledge of the flexible joint…

Robotics · Computer Science 2020-03-12 Shuyang Chen , John Wen

In this paper, we investigate the synthesis of piecewise affine feedback controllers to address the problem of safe and robust controller design in robotics based on high-level controls specifications. The methodology is based on…

Robotics · Computer Science 2016-10-10 Marijan Vukosavljev , Ivo Jansen , Mireille E. Broucke , Angela P. Schoellig

Collaborative robots offer increased interaction capabilities at relatively low cost but in contrast to their industrial counterparts they inevitably lack precision. Moreover, in addition to the robots' own imperfect models, day-to-day…

Robotics · Computer Science 2021-03-26 João Silvério , Guillaume Clivaz , Sylvain Calinon

Soft and soft-rigid hybrid robots are inherently underactuated and operate under tight actuator limits, making task-space control with stability guarantees challenging. Common nonlinear strategies for soft robots (e.g., those based on PD…

Robotics · Computer Science 2026-03-09 Huy Pham , Zach J. Patterson

The paper is concerned with the dynamic tracking problem of SNAP orchards harvesting robots in the presence of multiple uncalibrated model parameters in the application of dwarf culture orchards harvest. A new hybrid visual servoing…

Robotics · Computer Science 2021-06-11 Tao Li , Quan Qiu , Chunjiang Zhao

This paper proposes a new control framework for manipulating soft objects. A Deep Reinforcement Learning (DRL) approach is used to make the shape of a deformable object reach a set of desired points by controlling a robotic arm which…

We propose a novel framework for learning stabilizable nonlinear dynamical systems for continuous control tasks in robotics. The key idea is to develop a new control-theoretic regularizer for dynamics fitting rooted in the notion of…

Systems and Control · Computer Science 2018-11-13 Sumeet Singh , Vikas Sindhwani , Jean-Jacques E. Slotine , Marco Pavone

This article studies the collaborative transportation of a cable-suspended pipe by two quadrotors. A force-coordination control scheme is proposed, where a force-consensus term is introduced to average the load distribution between the…

Robotics · Computer Science 2023-04-04 Lidan Xu , Hao Lu , JianLiang Wang , Xianggui Guo , Lei Guo

The problem of multi-robot coverage control has been widely studied to efficiently coordinate a team of robots to cover a desired area of interest. However, this problem faces significant challenges when some robots are lost or deviate from…

Robotics · Computer Science 2025-02-25 Kartik A. Pant , Vishnu Vijay , Minhyun Cho , Inseok Hwang

The complexities in the dynamic model of the legged robots make it necessary to utilize model-free controllers in the task of trajectory tracking. In This paper, an adaptive transpose Jacobian approach is proposed to deal with the dynamic…

Robotics · Computer Science 2025-04-15 Hossein Shojaei , Hamid Rahmanei , Seyed Hossein Sadati
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