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Robotic manipulation has made significant advancements, with systems demonstrating high precision and repeatability. However, this remarkable precision often fails to translate into efficient manipulation of thin deformable objects. Current…

Robotics · Computer Science 2025-07-09 Chao Zhao , Chunli Jiang , Lifan Luo , Shuai Yuan , Qifeng Chen , Hongyu Yu

In-hand object reorientation is necessary for performing many dexterous manipulation tasks, such as tool use in less structured environments that remain beyond the reach of current robots. Prior works built reorientation systems assuming…

Robotics · Computer Science 2023-11-27 Tao Chen , Megha Tippur , Siyang Wu , Vikash Kumar , Edward Adelson , Pulkit Agrawal

Transfer of objects between humans and robots is a critical capability for collaborative robots. Although there has been a recent surge of interest in human-robot handovers, most prior research focus on robot-to-human handovers. Further,…

Robotics · Computer Science 2020-03-16 Wei Yang , Chris Paxton , Maya Cakmak , Dieter Fox

This paper presents an approach to in-hand manipulation planning that exploits the mechanics of alternating sticking contact. Particularly, we consider the problem of manipulating a grasped object using external pushes for which the pusher…

Robotics · Computer Science 2018-03-06 Nikhil Chavan-Dafle , Alberto Rodriguez

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

Autonomous grasping of novel objects that are previously unseen to a robot is an ongoing challenge in robotic manipulation. In the last decades, many approaches have been presented to address this problem for specific robot hands. The…

Robotics · Computer Science 2022-07-01 Kelin Li , Nicholas Baron , Xian Zhang , Nicolas Rojas

Grasping, in both biological and engineered mechanisms, can be highly sensitive to the gripper and object morphology, as well as perception, and motion planning. Here we circumvent the need for feedback or precise planning by using an array…

The engineering design of robotic grippers presents an ample design space for optimization towards robust grasping. In this paper, we adopt the reconfigurable design of the robotic gripper using a novel soft finger structure with…

Robotics · Computer Science 2020-07-14 Fang Wan , Haokun Wang , Jiyuan Wu , Yujia Liu , Sheng Ge , Chaoyang Song

Although general purpose robotic manipulators are becoming more capable at manipulating various objects, their ability to manipulate millimeter-scale objects are usually very limited. On the other hand, ultrasonic levitation devices have…

Robotics · Computer Science 2020-02-24 Jared Nakahara , Boling Yang , Joshua R. Smith

This paper presents a mid-level planning system for object reorientation. It includes a grasp planner, a placement planner, and a regrasp sequence solver. Given the initial and goal poses of an object, the mid-level planning system finds a…

Robotics · Computer Science 2016-08-11 Weiwei Wan , Hisashi Igawa , Kensuke Harada , Zepei Wu , Hiromu Onda , Kazuyuki Nagata , Natsuki Yamanobe

Quadruped robots are increasingly used in various applications due to their high mobility and ability to operate in diverse terrains. However, most available quadruped robots are primarily focused on mobility without object manipulation…

Although wheeled robots have been predominant for planetary exploration, their geometry limits their capabilities when traveling over steep slopes, through rocky terrains, and in microgravity. Legged robots equipped with grippers are a…

We present a method for controlling a simulated humanoid to grasp an object and move it to follow an object's trajectory. Due to the challenges in controlling a humanoid with dexterous hands, prior methods often use a disembodied hand and…

Robotics · Computer Science 2025-05-20 Zhengyi Luo , Jinkun Cao , Sammy Christen , Alexander Winkler , Kris Kitani , Weipeng Xu

Adaptation to various scene configurations and object properties, stability and dexterity in robotic grasping manipulation is far from explored. This work presents an origami-based shape morphing fingertip design to actively tackle the…

Robotics · Computer Science 2020-10-13 Zicheng Kan , Yazhan Zhang , Chohei Pang , Michael Yu Wang

Our work aims to reconstruct hand-held objects given a single RGB image. In contrast to prior works that typically assume known 3D templates and reduce the problem to 3D pose estimation, our work reconstructs generic hand-held object…

Computer Vision and Pattern Recognition · Computer Science 2022-04-15 Yufei Ye , Abhinav Gupta , Shubham Tulsiani

Many industries extensively use flexible materials. Effective approaches for handling flexible objects with a robot manipulator must address residual vibrations. Existing solutions rely on complex models, use additional instrumentation for…

Robotics · Computer Science 2022-11-22 Daniele Ronzani , Shamil Mamedov , Jan Swevers

For robot manipulation, a complete and accurate object shape is desirable. Here, we present a method that combines visual and haptic reconstruction in a closed-loop pipeline. From an initial viewpoint, the object shape is reconstructed…

Robotics · Computer Science 2024-09-11 Lukas Rustler , Jiri Matas , Matej Hoffmann

Humans grasp unfamiliar objects by combining an initial visual estimate with tactile and proprioceptive feedback during interaction. We present ShapeGrasp, a robotic implementation of this approach. The proposed method is an iterative…

Robotics · Computer Science 2026-05-05 Lukas Rustler , Matej Hoffmann

This paper presents a single-actuator passive gripper that achieves both stable grasping and continuous bidirectional in-hand rotation through mechanically encoded power transmission logic. Unlike conventional multifunctional grippers that…

Robotics · Computer Science 2026-01-13 JaeHyung Jang , JunHyeong Park , Joong-Ku Lee , Jee-Hwan Ryu

Humans throw and catch objects all the time. However, such a seemingly common skill introduces a lot of challenges for robots to achieve: The robots need to operate such dynamic actions at high-speed, collaborate precisely, and interact…

Robotics · Computer Science 2023-09-12 Binghao Huang , Yuanpei Chen , Tianyu Wang , Yuzhe Qin , Yaodong Yang , Nikolay Atanasov , Xiaolong Wang
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