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Related papers: Robot Grasping and Manipulation: A Prospective

200 papers

Achieving human-like dexterous robotic manipulation remains a central goal and a pivotal challenge in robotics. The development of Artificial Intelligence (AI) has allowed rapid progress in robotic manipulation. This survey summarizes the…

Robotics · Computer Science 2025-11-19 Gaofeng Li , Ruize Wang , Peisen Xu , Qi Ye , Jiming Chen

Quadruped robots are showing impressive abilities to navigate the real world. If they are to become more integrated into society, social trust in interactions with humans will become increasingly important. Additionally, robots will need to…

Robotics · Computer Science 2024-07-01 Alessandra Chappuis , Guillaume Bellegarda , Auke Ijspeert

There is a large population of wheelchair users. Most of the wheelchair users need help with daily tasks. However, according to recent reports, their needs are not properly satisfied due to the lack of caregivers. Therefore, in this…

Robotics · Computer Science 2024-09-20 Abulikemu Abuduweili , Alice Wu , Tianhao Wei , Weiye Zhao

Bidirectional object handover between a human and a robot enables an important functionality skill in robotic human-centered manufacturing or services. The problem in achieving this skill lies in the capacity of any solution to deal with…

Robotics · Computer Science 2022-06-22 Mohamed Djeha , Antonin Dallard , Ahmed Zermane , Pierre Gergondet , Abderrahmane Kheddar

Assistive agents should make humans' lives easier. Classically, such assistance is studied through the lens of inverse reinforcement learning, where an assistive agent (e.g., a chatbot, a robot) infers a human's intention and then selects…

Artificial Intelligence · Computer Science 2025-01-17 Vivek Myers , Evan Ellis , Sergey Levine , Benjamin Eysenbach , Anca Dragan

One of the open challenges in designing robots that operate successfully in the unpredictable human environment is how to make them able to predict what actions they can perform on objects, and what their effects will be, i.e., the ability…

Large-scale, diverse robot datasets have emerged as a promising path toward enabling dexterous manipulation policies to generalize to novel environments, but acquiring such datasets presents many challenges. While teleoperation provides…

Robotics · Computer Science 2026-05-19 Tony Tao , Mohan Kumar Srirama , Jason Jingzhou Liu , Kenneth Shaw , Deepak Pathak

Deep learning's success in perception, natural language processing, etc. inspires hopes for advancements in autonomous robotics. However, real-world robotics face challenges like variability, high-dimensional state spaces, non-linear…

Robotics · Computer Science 2025-01-28 Sven Behnke

Dexterous in-hand manipulation remains a foundational challenge in robotics, with progress often constrained by the prevailing paradigm of imitating the human hand. This anthropomorphic approach creates two critical barriers: 1) it limits…

Robotics · Computer Science 2025-09-26 Sun Zhaole , Xiaofeng Mao , Jihong Zhu , Yuanlong Zhang , Robert B. Fisher

Our lives have been immensely improved by decades of automation research -- we are more comfortable, more productive and safer than ever before. Just imagine a world where familiar automation technologies have failed. In that world,…

Computers and Society · Computer Science 2016-04-12 Gregory D. Hager , Daniela Rus , Vijay Kumar , Henrik Christensen

It is hard to imagine with the progress in robotics that current approaches are lacking somewhere, yet they will not be applicable to the majority of robots in the near future. We are on the verge of two new transitions that will transform…

Robotics · Computer Science 2022-06-22 Stoyan K. Smoukov

Human-Robot collaboration in home and industrial workspaces is on the rise. However, the communication between robots and humans is a bottleneck. Although people use a combination of different types of gestures to complement speech, only a…

Robotics · Computer Science 2024-01-04 Petr Vanc , Jan Kristof Behrens , Karla Stepanova , Vaclav Hlavac

Robotic grasping of house-hold objects has made remarkable progress in recent years. Yet, human grasps are still difficult to synthesize realistically. There are several key reasons: (1) the human hand has many degrees of freedom (more than…

Computer Vision and Pattern Recognition · Computer Science 2020-11-30 Korrawe Karunratanakul , Jinlong Yang , Yan Zhang , Michael Black , Krikamol Muandet , Siyu Tang

Robot-assisted navigation is a perfect example of a class of applications requiring flexible control approaches. When the human is reliable, the robot should concede space to their initiative. When the human makes inappropriate choices the…

Robotics · Computer Science 2023-12-25 Placido Falqueto , Alessandro Antonucci , Luigi Palopoli , Daniele Fontanelli

This article presents a new hand architecture with three under-actuated fingers. Each finger performs spatial movements to achieve more complex and varied grasping than the existing planar-movement fingers. The purpose of this hand is to…

Robotics · Computer Science 2021-06-18 Pol Hamon , Damien Chablat , Franck Plestan

Robots with multi-fingered grippers could perform advanced manipulation tasks for us if we were able to properly specify to them what to do. In this study, we take a step in that direction by making a robot grasp an object like a grasping…

Robotics · Computer Science 2022-11-15 Yuming Du , Philippe Weinzaepfel , Vincent Lepetit , Romain Brégier

This article investigates the challenge of achieving functional tool-use grasping with high-DoF anthropomorphic hands, with the aim of enabling anthropomorphic hands to perform tasks that require human-like manipulation and tool-use.…

Robotics · Computer Science 2023-04-03 Wei Wei , Peng Wang , Sizhe Wang

Contemporary robots are increasingly mimicking human social behaviours to facilitate interaction, such as smiling to signal approachability, or hesitating before taking an action to allow people time to react. Such techniques can activate a…

Human-Computer Interaction · Computer Science 2025-09-10 James M. Berzuk , Lauren Corcoran , Brannen McKenzie-Lefurgey , Katie Szilagyi , James E. Young

When interacting with the world robots face a number of difficult questions, having to make decisions when given under-specified tasks where they need to make choices, often without clearly defined right and wrong answers. Humans, on the…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Jonas Krumme , Christoph Zetzsche

Autonomous agents are increasingly expected to operate in complex, dynamic, and uncertain environments, performing tasks such as manipulation, navigation, and decision-making. Achieving these capabilities requires agents to understand the…

Robotics · Computer Science 2025-11-11 Peng-Fei Zhang , Ying Cheng , Xiaofan Sun , Shijie Wang , Fengling Li , Lei Zhu , Heng Tao Shen