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Related papers: Contact-Aware Non-prehensile Robotic Manipulation …

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Robotic navigation in dense, cluttered environments such as agricultural canopies presents significant challenges due to physical and visual occlusion caused by leaves and branches. Traditional vision-based or model-dependent approaches…

Robotics · Computer Science 2025-06-13 Nidhi Homey Parayil , Thierry Peynot , Chris Lehnert

Retrieving objects buried beneath multiple objects is not only challenging but also time-consuming. Performing manipulation in such environments presents significant difficulty due to complex contact relationships. Existing methods…

Robotics · Computer Science 2025-02-27 Fengshuo Bai , Yu Li , Jie Chu , Tawei Chou , Runchuan Zhu , Ying Wen , Yaodong Yang , Yuanpei Chen

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

Long-term non-prehensile planar manipulation is a challenging task for planning and control, requiring determination of both continuous and discrete contact configurations, such as contact points and modes. This leads to the non-convexity…

Robotics · Computer Science 2023-05-22 Teng Xue , Sylvain Calinon

In our daily life, cluttered objects are everywhere, from scattered stationery and books cluttering the table to bowls and plates filling the kitchen sink. Retrieving a target object from clutters is an essential while challenging skill for…

Robotics · Computer Science 2024-06-05 Yitong Li , Ruihai Wu , Haoran Lu , Chuanruo Ning , Yan Shen , Guanqi Zhan , Hao Dong

Non-prehensile manipulation is essential for handling thin, large, or otherwise ungraspable objects in unstructured settings. Prior planning and search-based methods often rely on ad-hoc manual designs or generate physically unrealizable…

Robotics · Computer Science 2026-03-17 Tierui He , Chao Zhao

Retrieving an object from cluttered spaces suchas cupboards, refrigerators, or bins requires tracking objects with limited or no visual sensing. In these scenarios, contact feedback is necessary to estimate the pose of the objects, yet the…

Robotics · Computer Science 2022-01-26 Sheng Zhong , Nima Fazeli , Dmitry Berenson

Robotic grasping is facing a variety of real-world uncertainties caused by non-static object states, unknown object properties, and cluttered object arrangements. The difficulty of grasping increases with the presence of more uncertainties,…

Robotics · Computer Science 2025-09-10 Hao Chen , Takuya Kiyokawa , Weiwei Wan , Kensuke Harada

We begin this paper by presenting our approach to robot manipulation, which emphasizes the benefits of making contact with the world across the entire manipulator. We assume that low contact forces are benign, and focus on the development…

Robotics · Computer Science 2013-04-24 Advait Jain , Marc D. Killpack , Aaron Edsinger , Charles C. Kemp

Close and precise placement of irregularly shaped objects requires a skilled robotic system. The manipulation of objects that have sensitive top surfaces and a fixed set of neighbors is particularly challenging. To avoid damaging the…

Robotics · Computer Science 2024-10-14 Benedikt Kreis , Nils Dengler , Jorge de Heuvel , Rohit Menon , Hamsa Perur , Maren Bennewitz

We consider the problem of sorting a densely cluttered pile of unknown objects using a robot. This yet unsolved problem is relevant in the robotic waste sorting business. By extending previous active learning approaches to grasping, we show…

Robotics · Computer Science 2016-09-06 Janne V. Kujala , Tuomas J. Lukka , Harri Holopainen

In this paper, we present a semi-autonomous teleoperation framework for a pick-and-place task using an RGB-D sensor. In particular, we assume that the target object is located in a cluttered environment where both prehensile grasping and…

Robotics · Computer Science 2022-05-26 Sangbeom Park , Yoonbyung Chai , Sunghyun Park , Jeongeun Park , Kyungjae Lee , Sungjoon Choi

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

Recent progress in robotic manipulation has dealt with the case of previously unknown objects in the context of relatively simple tasks, such as bin-picking. Existing methods for more constrained problems, however, such as deliberate…

Robotics · Computer Science 2020-06-30 Chaitanya Mitash , Rahul Shome , Bowen Wen , Abdeslam Boularias , Kostas Bekris

Robotic manipulators navigating cluttered shelves or cabinets may find it challenging to avoid contact with obstacles. Indeed, rearranging obstacles may be necessary to access a target. Rather than planning explicit motions that place…

Robotics · Computer Science 2022-10-04 Rachel Thomasson , Etienne Roberge , Mark R. Cutkosky , Jean-Philippe Roberge

In robots, nonprehensile manipulation operations such as pushing are a useful way of moving large, heavy or unwieldy objects, moving multiple objects at once, or reducing uncertainty in the location or pose of objects. In this study, we…

Robotics · Computer Science 2021-08-03 John Lloyd , Nathan F. Lepora

We present a novel method for global motion planning of robotic systems that interact with the environment through contacts. Our method directly handles the hybrid nature of such tasks using tools from convex optimization. We formulate the…

Contact adaption is an essential capability when manipulating objects. Two key contact modes of non-prehensile manipulation are sticking and sliding. This paper presents a Trajectory Optimization (TO) method formulated as a Mathematical…

Robotics · Computer Science 2022-03-21 João Moura , Theodoros Stouraitis , Sethu Vijayakumar

For planning rearrangements of objects in a clutter, it is required to know the goal configuration of the objects. However, in real life scenarios, this information is not available most of the time. We introduce a novel method that…

Robotics · Computer Science 2019-06-21 Abdul Rahman Dabbour , Esra Erdem , Volkan Patoglu

Animating human-scene interactions such as pick-and-place tasks in cluttered, complex layouts is a challenging task, with objects of a wide variation of geometries and articulation under scenarios with various obstacles. The main difficulty…

Graphics · Computer Science 2025-10-07 Jintao Lu , He Zhang , Yuting Ye , Takaaki Shiratori , Sebastian Starke , Taku Komura