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Despite the potential benefits of collaborative robots, effective manipulation tasks with quadruped robots remain difficult to realize. In this paper, we propose a hierarchical control system that can handle real-world collaborative…

Robotics · Computer Science 2023-08-01 Mohsen Sombolestan , Quan Nguyen

Humans show specialized strategies for efficient collaboration. Transferring similar strategies to humanoid robots can improve their capability to interact with other agents, leading the way to complex collaborative scenarios with multiple…

Legged robots can have a unique role in manipulating objects in dynamic, human-centric, or otherwise inaccessible environments. Although most legged robotics research to date typically focuses on traversing these challenging environments,…

Quadruped robots have made significant advances in locomotion, extending their capabilities from controlled environments to real-world applications. Beyond movement, recent work has explored loco-manipulation using the legs to perform tasks…

Robotics · Computer Science 2025-06-12 Minji Kang , Chanwoo Baek , Yoonsang Lee

Animals use limbs for both locomotion and manipulation. We aim to equip quadruped robots with similar versatility. This work introduces a system that enables quadruped robots to interact with objects using their legs, inspired by…

Robotics · Computer Science 2024-10-25 Xialin He , Chengjing Yuan , Wenxuan Zhou , Ruihan Yang , David Held , Xiaolong Wang

As legged robots take on roles in industrial and autonomous construction, collaborative loco-manipulation is crucial for handling large and heavy objects that exceed the capabilities of a single robot. However, ensuring the safety of these…

Robotics · Computer Science 2024-11-19 Mohsen Sombolestan , Quan Nguyen

We study decentralized cooperative transport using teams of N-quadruped robots with arm that must pinch, lift, and move ungraspable objects through physical contact alone. Unlike prior work that relies on rigid mechanical coupling between…

Robotics · Computer Science 2026-03-11 Bikram Pandit , Aayam Kumar Shrestha , Alan Fern

This paper addresses two intertwined needs for collaborative robots operating in shop-floor environments. The first is the ability to perform complex manipulation operations, such as those on articulated or even flexible objects, in a way…

Legged robots have shown remarkable advantages in navigating uneven terrain. However, realizing effective locomotion and manipulation tasks on quadruped robots is still challenging. In addition, object and terrain parameters are generally…

Robotics · Computer Science 2023-03-14 Mohsen Sombolestan , Quan Nguyen

Legged robots have the potential to become vital in maintenance, home support, and exploration scenarios. In order to interact with and manipulate their environments, most legged robots are equipped with a dedicated robot arm, which means…

Robotics · Computer Science 2024-02-19 Philip Arm , Mayank Mittal , Hendrik Kolvenbach , Marco Hutter

Quadruped robots are progressively being integrated into human environments. Despite the growing locomotion capabilities of quadrupedal robots, their interaction with objects in realistic scenes is still limited. While additional robotic…

Robotics · Computer Science 2024-08-05 Zhengmao He , Kun Lei , Yanjie Ze , Koushil Sreenath , Zhongyu Li , Huazhe Xu

This manuscript introduces an object deformability-agnostic framework for co-carrying tasks that are shared between a person and multiple robots. Our approach allows the full control of the co-carrying trajectories by the person while…

Robotics · Computer Science 2023-02-10 Doganay Sirintuna , Idil Ozdamar , Arash Ajoudani

We introduce HCLM, a hierarchical framework for general-purpose cooperative loco-manipulation with dual quadrupedal systems. Coordinating multi-robot collaborative manipulation across floating bases is highly challenging due to the…

Robotics · Computer Science 2026-05-19 Qixuan Li , Chen Le , Jincheng Yu , Xinlei Chen

In this paper, we present a hybrid position/force controller for operating joint robots. The hybrid controller has two goals -- motion tracking and force regulating. As long as these two goals are not mutually exclusive, they can be…

Robotics · Computer Science 2021-06-08 Shengwen Xie , Juan Ren

Pushing is a simple yet effective skill for robots to interact with and further change the environment. Related work has been mostly focused on utilizing it as a non-prehensile manipulation primitive for a robotic manipulator. However, it…

Robotics · Computer Science 2025-10-15 Zili Tang , Yuming Feng , Meng Guo

Legged manipulators extend robotic capabilities beyond static manipulation by integrating agile locomotion with versatile arm control. However, achieving precise manipulation while maintaining coordinated locomotion remains a major…

Due to their ability to adapt to different terrains, quadruped robots have drawn much attention in the research field of robot learning. Legged mobile manipulation, where a quadruped robot is equipped with a robotic arm, can greatly enhance…

Robotics · Computer Science 2022-03-08 Qingfeng Yao , Jilong Wan , Shuyu Yang , Cong Wang , Linghan Meng , Qifeng Zhang , Donglin Wang

This paper tackles the problem of robots collaboratively towing a load with cables to a specified goal location while avoiding collisions in real time. The introduction of cables (as opposed to rigid links) enables the robotic team to…

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 work represents an initial benchmark of a large-scale soft robot performing physical, collaborative manipulation of a long, extended object with a human partner. The robot consists of a pneumatically-actuated, three-link continuum soft…

Robotics · Computer Science 2025-04-14 Dallin L. Cordon , Shaden Moss , Marc Killpack , John L. Salmon
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