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An effective method for optimizing path planning for a specific model of a 6-degree-of-freedom (6-DOF) robot manipulator is presented as part of the motion planning of the manipulator using computer algebra. We assume that we are given a…

Robotics · Computer Science 2025-09-09 Takumu Okazaki , Akira Terui , Masahiko Mikawa

Multi-agent robotic manipulation remains challenging due to the combined demands of coordination, grasp stability, and collision avoidance in shared workspaces. To address these challenges, we propose the Adaptive Dynamic Modality Diffusion…

Robotics · Computer Science 2026-02-26 Enyi Wang , Wen Fan , Dandan Zhang

Morphing quadrotors with four external actuators can adapt to different restricted scenarios by changing their geometric structure. However, previous works mainly focus on the improvements in structures and controllers, and existing…

Robotics · Computer Science 2023-12-13 Guiyang Cui , Ruihao Xia , Xin Jin , Yang Tang

Human-robot collaboration (HRC) requires robots to adapt their motions to human intent to ensure safe and efficient cooperation in shared spaces. Although large language models (LLMs) provide high-level reasoning for inferring human intent,…

Robotics · Computer Science 2025-10-13 Jiurun Song , Xiao Liang , Minghui Zheng

Manipulating deformable objects arises in daily life and numerous applications. Despite phenomenal advances in industrial robotics, manipulation of deformable objects remains mostly a manual task. This is because of the high number of…

Robotics · Computer Science 2024-01-31 Burak Aksoy , John Wen

Robotic manipulation involves actions where contacts occur between the robot and the objects. In this scope, the availability of physics-based engines allows motion planners to comprise dynamics between rigid bodies, which is necessary for…

Robotics · Computer Science 2017-10-31 M Muhayyuddin , Aliakbar Akbari , Jan Rosell

For soft robots to work effectively in human-centered environments, they need to be able to estimate their state and external interactions based on (proprioceptive) sensors. Estimating disturbances allows a soft robot to perform desirable…

Deep reinforcement learning (RL) agents are able to learn contact-rich manipulation tasks by maximizing a reward signal, but require large amounts of experience, especially in environments with many obstacles that complicate exploration. In…

Manipulators can be added to legged robots, allowing them to interact with and change their environment. Legged mobile manipulation planners must consider how contact forces generated by these manipulators affect the system. Current…

Robotics · Computer Science 2021-04-26 Parker Ewen , Jean-Pierre Sleiman , Yuxin Chen , Wei-Chun Lu , Marco Hutter , Ram Vasudevan

Recent studies on quadruped robots have focused on either locomotion or mobile manipulation using a robotic arm. Legged robots can manipulate heavier and larger objects using non-prehensile manipulation primitives, such as planar pushing,…

Robotics · Computer Science 2022-10-10 Alberto Rigo , Yiyu Chen , Satyandra K. Gupta , Quan Nguyen

This paper presents a review of the design and application of model predictive control strategies for Micro Aerial Vehicles and specifically multirotor configurations such as quadrotors. The diverse set of works in the domain is organized…

Robotics · Computer Science 2020-11-24 Huan Nguyen , Mina Kamel , Kostas Alexis , Roland Siegwart

To be feasible for computationally intensive applications such as parametric studies, optimization and control design, large-scale finite element analysis requires model order reduction. This is particularly true in nonlinear settings that…

Computational Physics · Physics 2015-05-22 Maciej Balajewicz , David Amsallem , Charbel Farhat

A shared grasp is a grasp formed by contacts between the manipulated object and both the robot hand and the environment. By trading off hand contacts for environmental contacts, a shared grasp requires fewer contacts with the hand, and…

Robotics · Computer Science 2020-06-05 Yifan Hou , Zhenzhong Jia , Matthew T. Mason

Dexterous manipulation has seen remarkable progress in recent years, with policies capable of executing many complex and contact-rich tasks in simulation. However, transferring these policies from simulation to real world remains a…

Robotics · Computer Science 2025-05-05 Shuqi Zhao , Ke Yang , Yuxin Chen , Chenran Li , Yichen Xie , Xiang Zhang , Changhao Wang , Masayoshi Tomizuka

Unlike human beings that can employ the entire surface of their limbs as a means to establish contact with their environment, robots are typically programmed to interact with their environments via their end-effectors, in a collision-free…

Robotics · Computer Science 2023-08-09 Zhaoting Li , Miguel Zamora , Hehui Zheng , Stelian Coros

To rationalize the relatively high investment that industrial automation systems entail, research in the field of intelligent machines should target high value functions such as fettling, die-finishing, deburring, and fixtureless…

Robotics · Computer Science 2014-02-25 Dinesh Rabindran

Manipulation of objects by exploiting their contact with the environment can enhance both the dexterity and payload capability of robotic manipulators. A common way to manipulate heavy objects beyond the payload capability of a robot is to…

Robotics · Computer Science 2021-04-27 Amin Fakhari , Aditya Patankar , Nilanjan Chakraborty

With advancing technologies, robotic manipulators and visual environment sensors are becoming cheaper and more widespread. However, robot control can be still a limiting factor for better adaptation of these technologies. Robotic…

Robotics · Computer Science 2019-02-18 Justinas Miseikis , Kyrre Glette , Ole Jakob Elle , Jim Torresen

Dynamic motions are a key feature of robotic arms, enabling them to perform tasks quickly and efficiently. Soft continuum manipulators do not currently consider dynamic parameters when operating in task space. This shortcoming makes…

Robotics · Computer Science 2022-10-19 Oliver Fischer , Yasunori Toshimitsu , Amirhossein Kazemipour , Robert K. Katzschmann

Robotic manipulators are essential for precise industrial pick-and-place operations, yet planning collision-free trajectories in dynamic environments remains challenging due to uncertainties such as sensor noise and time-varying delays.…