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When arranging objects with robotic arms, the quality of the end result strongly depends on the achievable placement accuracy. However, even the most advanced robotic systems are prone to positioning errors that can occur at different steps…

Robotics · Computer Science 2023-05-15 Benedikt Kreis , Rohit Menon , Bharath Kumar Adinarayan , Jorge de Heuvel , Maren Bennewitz

Handling oversized, variable-shaped, or delicate objects in transportation, grasping tasks is extremely challenging, mainly due to the limitations of the gripper's shape and size. This paper proposes a novel gripper, Lasso Gripper. Inspired…

Robotics · Computer Science 2025-06-18 Qiyuan Qiao , Yu Wang , Xiyu Fan , Peng Lu

This work proposes a novel generative design tool for passive grippers -- robot end effectors that have no additional actuation and instead leverage the existing degrees of freedom in a robotic arm to perform grasping tasks. Passive…

Graphics · Computer Science 2023-06-07 Milin Kodnongbua , Ian Good Yu Lou , Jeffrey Lipton , Adriana Schulz

Hand synergies, or joint coordination patterns, have become an effective tool for achieving versatile robotic grasping with simple hands or planning algorithms. Here we propose a method to determine the hand synergies such that they can be…

Robotics · Computer Science 2018-08-02 Tianjian Chen , Maximilian Haas-Heger , Matei Ciocarlie

Transferring multiple objects between bins is a common task for many applications. In robotics, a standard approach is to pick up one object and transfer it at a time. However, grasping and picking up multiple objects and transferring them…

Robotics · Computer Science 2021-12-21 Adheesh Shenoy , Tianze Chen , Yu Sun

When performing manipulation-based activities such as picking objects, a mobile robot needs to position its base at a location that supports successful execution. To address this problem, prominent approaches typically rely on costly grasp…

Robotics · Computer Science 2024-05-28 Manish Saini , Melvin Paul Jacob , Minh Nguyen , Nico Hochgeschwender

Human fingers achieve exceptional dexterity and adaptability by combining structures with varying stiffness levels, from soft tissues (low) to tendons and cartilage (medium) to bones (high). This paper explores developing a robotic finger…

Aerial robots have garnered significant attention due to their potential applications in various industries, such as inspection, search and rescue, and drone delivery. Successful missions often depend on the ability of these robots to grasp…

Robotics · Computer Science 2024-03-26 Hiu Ching Cheung , Ching-Wei Chang , Bailun Jiang , Chih-Yung Wen , Henry K. Chu

Human hands are able to grasp a wide range of object sizes, shapes, and weights, achieved via reshaping and altering their apparent grasping stiffness between compliant power and rigid precision. Achieving similar versatility in robotic…

Robotics · Computer Science 2023-09-27 Digby Chappell , Fernando Bello , Petar Kormushev , Nicolas Rojas

We describe a force-controlled robotic gripper with built-in tactile and 3D perception. We also describe a complete autonomous manipulation pipeline consisting of object detection, segmentation, point cloud processing, force-controlled…

Robotics · Computer Science 2024-02-12 Nikolaus Correll , Dylan Kriegman , Stephen Otto , James Watson

A key challenge in robotics is to create efficient methods for grasping objects with diverse shapes, sizes, poses, and properties. Grasping with hand-like end effectors often requires careful selection of hand orientation and finger…

Robotics · Computer Science 2019-12-17 Yufei Hao , Shantonu Biswas , Elliot Hawkes , Tianmiao Wang , Mengjia Zhu , Li Wen , Yon Visell

This paper considers the problem of rearrangement planning, i.e finding a sequence of manipulation actions that displace multiple objects from an initial configuration to a given goal configuration. Rearrangement is a critical skill for…

Robotics · Computer Science 2019-05-21 Changkyu Song , Abdeslam Boularias

Under-actuated robot grippers as a pervasive tool of robots have become a considerable research focus. Despite their simplicity of mechanical design and control strategy, they suffer from poor versatility and weak adaptability, making…

Robotics · Computer Science 2024-03-20 Jihao Li , Tingbo Liao , Hassen Nigatu , Haotian Guo , Guodong Lu , Huixu Dong

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

Imagine a robot that can assemble a functional product from the individual parts presented in any configuration to the robot. Designing such a robotic system is a complex problem which presents several open challenges. To bypass these…

Soft robotic hands and grippers are increasingly attracting attention as a robotic end-effector. Compared with rigid counterparts, they are safer for human-robot and environment-robot interactions, easier to control, lower cost and weight,…

Robotics · Computer Science 2021-09-07 Haihang Wang , Fares J. Abu-Dakka , Tran Nguyen Le , Ville Kyrki , He Xu

This paper presents a novel industrial robotic gripper with a high grasping speed (maximum: 1396 mm/s), high tip force (maximum: 80 N) for grasping, large motion range, and lightweight design (0.3 kg). To realize these features, the…

Robotics · Computer Science 2023-10-27 Toshihiro Nishimura , Takeshi Takaki , Yosuke Suzuki , Tokuo Tsuji , Tetsuyou Watanabe

Designing robotic hands for specific tasks could help in the creation of optimized end-effectors for grasping and manipulation. However the systematic design of robotic hands for a simultaneous task of all fingertips presents many…

Robotics · Computer Science 2020-08-21 Ali Tamimi , Taher Deemyad , Alba Perez-Gracia

This work details the design of a novel two finger robot gripper with multiple Gelsight based optical-tactile sensors covering the inner surface of the hand. The multiple Gelsight sensors can gather the surface topology of the object from…

Robotics · Computer Science 2020-02-10 Achu Wilson , Shaoxiong Wang , Branden Romero , Edward Adelson

The development of robotic grippers and hands for automation aims to emulate human dexterity without sacrificing the efficiency of industrial grippers. This study introduces Rotograb, a tendon-actuated robotic hand featuring a novel…