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Adept manipulation of articulated objects is essential for robots to operate successfully in human environments. Such manipulation requires both effectiveness--reliable operation despite uncertain object structures--and efficiency--swift…

Robotics · Computer Science 2026-04-21 Zihang Zhao , Zhenghao Qi , Yuyang Li , Leiyao Cui , Zhi Han , Lecheng Ruan , Yixin Zhu

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…

Soft growing robots are proposed for use in applications such as complex manipulation tasks or navigation in disaster scenarios. Safe interaction and ease of production promote the usage of this technology, but soft robots can be…

For successful object manipulation with robotic hands, it is important to ensure that the object remains in the grasp at all times. In addition to grasp constraints associated with slipping and singular hand configurations, excessive…

Robotics · Computer Science 2018-11-28 Wenceslao Shaw Cortez , Denny Oetomo , Chris Manzie , Peter Choong

A significant barrier preventing model-based methods from achieving real-time and versatile dexterous robotic manipulation is the inherent complexity of multi-contact dynamics. Traditionally formulated as complementarity models,…

Robotics · Computer Science 2025-04-23 Wanxin Jin

This paper presents a new technique to control highly redundant mechanical systems, such as humanoid robots. We take inspiration from two approaches. Prioritized control is a widespread multi-task technique in robotics and animation: tasks…

Robotic manipulators are widely used in modern manufacturing processes. However, their deployment in unstructured environments remains an open problem. To deal with the variety, complexity, and uncertainty of real-world manipulation tasks,…

Robotics · Computer Science 2021-12-07 Marvin Alles , Elie Aljalbout

Robotic arms are highly common in various automation processes such as manufacturing lines. However, these highly capable robots are usually degraded to simple repetitive tasks such as pick-and-place. On the other hand, designing an optimal…

Robotics · Computer Science 2024-01-31 Inbar Meir , Avital Bechar , Avishai Sintov

In recent years, the need for robots to transition from isolated industrial tasks to shared environments, including human-robot collaboration and teleoperation, has become increasingly evident. Building on the foundation of Fractal…

Although inverse kinematics of serial manipulators is a well studied problem, challenges still exist in finding smooth feasible solutions that are also collision aware. Furthermore, with collaborative service robots gaining traction,…

Robotics · Computer Science 2023-11-01 Salih Marangoz , Rohit Menon , Nils Dengler , Maren Bennewitz

Tactile information plays a critical role in human dexterity. It reveals useful contact information that may not be inferred directly from vision. In fact, humans can even perform in-hand dexterous manipulation without using vision. Can we…

Robotics · Computer Science 2023-03-28 Zhao-Heng Yin , Binghao Huang , Yuzhe Qin , Qifeng Chen , Xiaolong Wang

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

This paper proposes a novel robotic hand design for assembly tasks. The idea is to combine two simple grippers -- an inner gripper which is used for precise alignment, and an outer gripper which is used for stable holding. Conventional…

Robotics · Computer Science 2018-09-13 Kaidi Nie , Weiwei Wan , Kensuke Harada

Dexterous multi-fingered hands can provide robots with the ability to flexibly perform a wide range of manipulation skills. However, many of the more complex behaviors are also notoriously difficult to control: Performing in-hand object…

Robotics · Computer Science 2019-09-26 Anusha Nagabandi , Kurt Konoglie , Sergey Levine , Vikash Kumar

The intricate kinematics of the human hand enable simultaneous grasping and manipulation of multiple objects, essential for tasks such as object transfer and in-hand manipulation. Despite its significance, the domain of robotic multi-object…

Robotics · Computer Science 2024-03-15 Yuyang Li , Bo Liu , Yiran Geng , Puhao Li , Yaodong Yang , Yixin Zhu , Tengyu Liu , Siyuan Huang

Bilateral teleoperation provides humanoid robots with human planning intelligence while enabling the human to feel what the robot feels. It has the potential to transform physically capable humanoid robots into dynamically intelligent ones.…

Robotics · Computer Science 2021-09-10 Sunyu Wang , Joao Ramos

How should a robot direct active vision so as to ensure reliable grasping? We answer this question for the case of dexterous grasping of unfamiliar objects. By dexterous grasping we simply mean grasping by any hand with more than two…

Robotics · Computer Science 2019-07-03 Ermano Arruda , Jeremy Wyatt , Marek Kopicki

Dexterous robotic manipulation remains a challenging domain due to its strict demands for precision and robustness on both hardware and software. While dexterous robotic hands have demonstrated remarkable capabilities in complex tasks,…

Robotics · Computer Science 2024-08-22 Zilin Si , Kevin Lee Zhang , Zeynep Temel , Oliver Kroemer

Dexterous intelligence -- the ability to perform complex interactions with multi-fingered hands -- is a pinnacle of human physical intelligence and emergent higher-order cognitive skills. However, contrary to Moravec's paradox, dexterous…

Robotics · Computer Science 2025-07-15 Gagan Khandate

A problem that plagues robotic grasping is the misalignment of the object and gripper due to difficulties in precise localization, actuation, etc. Under-actuated robotic hands with compliant mechanisms are used to adapt and compensate for…

Robotics · Computer Science 2023-09-21 Naoki Fukaya , Avinash Ummadisingu , Kuniyuki Takahashi , Guilherme Maeda , Shin-ichi Maeda
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