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Manipulation of deformable objects is a challenging task for a robot. It will be problematic to use a single sensory input to track the behaviour of such objects: vision can be subjected to occlusions, whereas tactile inputs cannot capture…

Robotics · Computer Science 2023-05-01 Leszek Pecyna , Siyuan Dong , Shan Luo

To safely deploy legged robots in the real world it is necessary to provide them with the ability to reliably detect unexpected contacts and accurately estimate the corresponding contact force. In this paper, we propose a collision…

Robotics · Computer Science 2022-08-01 Jessie van Dam , Andreea Tulbure , Maria Vittoria Minniti , Firas Abi-Farraj , Marco Hutter

Deformable Linear Objects (DLOs) such as ropes, cables, and surgical sutures have a wide variety of uses in automotive engineering, surgery, and electromechanical industries. Therefore, modeling of DLOs as well as a computationally…

Robotics · Computer Science 2021-11-09 Alaa Khalifa , Gianluca Palli

Collocated tactile sensing is a fundamental enabling technology for dexterous manipulation. However, deformable sensors introduce complex dynamics between the robot, grasped object, and environment that must be considered for fine…

Robotics · Computer Science 2022-09-28 Miquel Oller , Mireia Planas , Dmitry Berenson , Nima Fazeli

Frictional contact has been extensively studied as the core underlying behavior of legged locomotion and manipulation, and its nearly-discontinuous nature makes planning and control difficult even when an accurate model of the robot is…

Robotics · Computer Science 2021-03-30 Mihir Parmar , Mathew Halm , Michael Posa

Model-based control usually relies on an accurate model, which is often obtained from CAD and actuator models. The more accurate the model the better the control performance. However, in bipedal robots that demonstrate high agility actions,…

Robotics · Computer Science 2021-07-27 Bolun Dai

We present a method for system identification of flexible objects by measuring forces and displacement during interaction with a manipulating arm. We model the object's structure and flexibility by a chain of rigid bodies connected by…

Robotics · Computer Science 2014-02-13 Timothy M. Caldwell , Dave Coleman , Nikolaus Correll

Robotic manipulation can greatly benefit from the data efficiency, robustness, and predictability of model-based methods if robots can quickly generate models of novel objects they encounter. This is especially difficult when effects like…

Robotics · Computer Science 2023-10-19 Bibit Bianchini , Mathew Halm , Michael Posa

Many manipulation tasks require the robot to control the contact between a grasped compliant tool and the environment, e.g. scraping a frying pan with a spatula. However, modeling tool-environment interaction is difficult, especially when…

Robotics · Computer Science 2022-10-11 Mark Van der Merwe , Dmitry Berenson , Nima Fazeli

Differentiable simulation has become a powerful tool for system identification. While prior work has focused on identifying robot properties using robot-specific data or object properties using object-specific data, our approach calibrates…

We present an approach to robustly track the geometry of an object that deforms over time from a set of input point clouds captured from a single viewpoint. The deformations we consider are caused by applying forces to known locations on…

Computer Vision and Pattern Recognition · Computer Science 2015-03-31 Stefanie Wuhrer , Jochen Lang , Motahareh Tekieh , Chang Shu

Numerous non-standard dynamics are described by contact-like effective interactions that can manifest themselves through deviations of the cross sections from the Standard Model predictions. If one such deviation were observed, one should…

High Energy Physics - Phenomenology · Physics 2008-11-26 A. A. Pankov , N. Paver , A. V. Tsytrinov

When humans see a scene, they can roughly imagine the forces applied to objects based on their experience and use them to handle the objects properly. This paper considers transferring this "force-visualization" ability to robots. We…

Robotics · Computer Science 2023-04-13 Ryo Hanai , Yukiyasu Domae , Ixchel G. Ramirez-Alpizar , Bruno Leme , Tetsuya Ogata

Constrained environments are common in practical applications of manipulating deformable linear objects (DLOs), where movements of both DLOs and robots should be constrained. This task is high-dimensional and highly constrained owing to the…

Robotics · Computer Science 2024-10-01 Mingrui Yu , Kangchen Lv , Changhao Wang , Yongpeng Jiang , Masayoshi Tomizuka , Xiang Li

Operations in hazardous environments put humans, animals, and machines at high risk for physically damaging consequences. In contrast to humans and animals, quadruped robots cannot naturally identify and adjust their locomotion to a…

Robotics · Computer Science 2026-04-07 Abriana Stewart-Height , Seema Jahagirdar , Nikolai Matni

Manipulating deformable and fragile objects remains a fundamental challenge in robotics due to complex contact dynamics and strict requirements on object integrity. Existing approaches typically optimize either end-effector design or…

Robotics · Computer Science 2026-02-23 Kei Ikemura , Yifei Dong , Florian T. Pokorny

An important task in structural design is to quantify the structural performance of an object under the external forces it may experience during its use. The problem proves to be computationally very challenging as the external forces'…

Machine Learning · Statistics 2018-10-26 Yining Wang , Erva Ulu , Aarti Singh , Levent Burak Kara

We present a tactile sensing method enabled by the mechanical compliance of soft robots; an externally attachable photoreflective module reads surface deformation of silicone skin to estimate contact force without embedding tactile…

Long-horizon routing tasks of deformable linear objects (DLOs), such as cables and ropes, are common in industrial assembly lines and everyday life. These tasks are particularly challenging because they require robots to manipulate DLO with…

Robotics · Computer Science 2026-04-16 Mingen Li , Houjian Yu , Yixuan Huang , Youngjin Hong , Hantao Ye , Changhyun Choi

Learning to manipulate objects efficiently, particularly those involving sustained contact (e.g., pushing, sliding) and articulated parts (e.g., drawers, doors), presents significant challenges. Traditional methods, such as robot-centric…

Robotics · Computer Science 2025-03-18 Shijie Fang , Wenchang Gao , Shivam Goel , Christopher Thierauf , Matthias Scheutz , Jivko Sinapov
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