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Robotic manipulation in dynamic environments often requires seamless transitions between different grasp types to maintain stability and efficiency. However, achieving smooth and adaptive grasp transitions remains a challenge, particularly…

Robotics · Computer Science 2025-09-24 Kuanqi Cai , Chunfeng Wang , Zeqi Li , Haowen Yao , Weinan Chen , Luis Figueredo , Aude Billard , Arash Ajoudani

Space robotics poses unique challenges arising from the limitation of energy and computational resources, and the complexity of the environment and employed platforms. At the control center, offline motion planning is fundamental in the…

This paper presents a novel feedback method on the motion planning for unicycle robots in environments with static obstacles, along with an extension to the distributed planning and coordination in multi-robot systems. The method employs a…

Robotics · Computer Science 2014-10-22 Dimitra Panagou

Legged robots with advanced manipulation capabilities have the potential to significantly improve household duties and urban maintenance. Despite considerable progress in developing robust locomotion and precise manipulation methods,…

Robotics · Computer Science 2025-01-14 Jilong Wang , Javokhirbek Rajabov , Chaoyi Xu , Yiming Zheng , He Wang

This paper proposes a task-space control protocol for the collaborative manipulation of a single object by N robotic agents. The proposed methodology is decentralized in the sense that each agent utilizes information associated with its own…

Robotics · Computer Science 2017-04-10 Christos K. Verginis , Matteo Mastellaro , Dimos V. Dimarogonas

For legged robots to perform agile, highly dynamic and contact-rich motions, whole-body trajectories computation of under-actuated complex systems subject to non-linear dynamics is required. In this work, we present hands-on applications of…

Robotics · Computer Science 2022-06-20 Francesco Ruscelli , Arturo Laurenzi , Nikos G. Tsagarakis , Enrico Mingo Hoffman

Many methods have been developed for planning the motion of robotic arms for picking and placing, ranging from local optimization to global search techniques, which are effective for sparsely placed objects. Dense clutter, however, still…

Robotics · Computer Science 2019-02-13 Andrew Kimmel , Rahul Shome , Zakary Littlefield , Kostas Bekris

Aerial robotic arms aim to enable inspection and environment interaction in otherwise hard-to-reach areas from the air. However, many aerial manipulators feature bulky or heavy robot manipulators mounted to large, high-payload aerial…

Virtual reality (VR) interfaces for robots provide a three-dimensional (3D) view of the robot in its environment, which allows people to better plan complex robot movements in tight or cluttered spaces. In our prior work, we created a VR…

Robotics · Computer Science 2021-04-27 Gregory LeMasurier , Jordan Allspaw , Holly A. Yanco

Remote robot manipulation with human control enables applications where safety and environmental constraints are adverse to humans (e.g. underwater, space robotics and disaster response) or the complexity of the task demands human-level…

Robotics · Computer Science 2020-11-24 Claudia Pérez-D'Arpino , Rebecca P. Khurshid , Julie A. Shah

Serially connected robots are promising candidates for performing tasks in confined spaces such as search-and-rescue in large-scale disasters. Such robots are typically limbless, and we hypothesize that the addition of limbs could improve…

The integration of collaborative robots into industrial environments has improved productivity, but has also highlighted significant challenges related to operator safety and ergonomics. This paper proposes an innovative framework that…

Robotics · Computer Science 2025-04-15 Francesco Iodice , Elena De Momi , Arash Ajoudani

Collaborative decision-making is an essential capability for multi-robot systems, such as connected vehicles, to collaboratively control autonomous vehicles in accident-prone scenarios. Under limited communication bandwidth, capturing…

Robotics · Computer Science 2023-11-01 Peng Gao , Yu Shen , Ming C. Lin

Collaborative robots can relief human operators from excessive efforts during payload lifting activities. Modelling the human partner allows the design of safe and efficient collaborative strategies. In this paper, we present a control…

Physical interactions are inevitable part of human-robot collaboration tasks and rather than exhibiting simple reactive behaviors to human interactions, collaborative robots need to be endowed with intuitive behaviors. This paper proposes a…

Robotics · Computer Science 2019-10-16 Yeshasvi Tirupachuri , Gabriele Nava , Lorenzo Rapetti , Claudia Latella , Daniele Pucci

An attached arm can significantly increase the applicability of legged robots to several mobile manipulation tasks that are not possible for the wheeled or tracked counterparts. The standard hierarchical control pipeline for such legged…

Robotics · Computer Science 2022-10-19 Zipeng Fu , Xuxin Cheng , Deepak Pathak

Wheel-legged robots with integrated manipulators hold great promise for mobile manipulation in logistics, industrial automation, and human-robot collaboration. However, unified control of such systems remains challenging due to the…

Robotics · Computer Science 2025-09-18 Zong Chen , Shaoyang Li , Ben Liu , Min Li , Zhouping Yin , Yiqun Li

Multi-robot control in cluttered environments is a challenging problem that involves complex physical constraints, including robot-robot collisions, robot-obstacle collisions, and unreachable motions. Successful planning in such settings…

Robotics · Computer Science 2026-04-24 Jiabao Ji , Yongchao Chen , Yang Zhang , Ramana Rao Kompella , Chuchu Fan , Gaowen Liu , Shiyu Chang

Object handover is a common form of interaction that is widely present in collaborative tasks. However, achieving it efficiently remains a challenge. We address the problem of ensuring resilient robotic actions that can adapt to complex…

Robotics · Computer Science 2026-04-30 Omar Faris , Sławomir Tadeja , Fulvio Forni

This paper presents a teleoperation system for controlling a redundant degree of freedom robot manipulator using human arm gestures. We propose a GRU-based Variational Autoencoder to learn a latent representation of the manipulator's…

Robotics · Computer Science 2025-02-05 Haoyi Shi , Mingxi Su , Ted Morris , Vassilios Morellas , Nikolaos Papanikolopoulos