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相关论文: Hearing the Slide: Acoustic-Guided Constraint Lear…

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This paper introduces a new technique for learning probabilistic models of mass and friction distributions of unknown objects, and performing robust sliding actions by using the learned models. The proposed method is executed in two…

机器人学 · 计算机科学 2020-08-06 Changkyu Song , Abdeslam Boularias

Advances in robot learning have enabled robots to generate skills for a variety of tasks. Yet, robot learning is typically sample inefficient, struggles to learn from data sources exhibiting varied behaviors, and does not naturally…

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…

机器人学 · 计算机科学 2025-03-18 Shijie Fang , Wenchang Gao , Shivam Goel , Christopher Thierauf , Matthias Scheutz , Jivko Sinapov

We propose a new technique for pushing an unknown object from an initial configuration to a goal configuration with stability constraints. The proposed method leverages recent progress in differentiable physics models to learn unknown…

机器人学 · 计算机科学 2020-06-05 Changkyu Song , Abdeslam Boularias

In everyday life, we often find that we can maintain an object's equilibrium on a tray by adjusting its orientation. Building upon this observation and extending the method we previously proposed to suppress sloshing in a moving vessel,…

机器人学 · 计算机科学 2023-06-27 Luigi Biagiotti , Davide Chiaravalli , Riccardo Zanella , Claudio Melchiorri

The recent development of novel aerial vehicles capable of physically interacting with the environment leads to new applications such as contact-based inspection. These tasks require the robotic system to exchange forces with…

机器人学 · 计算机科学 2022-07-06 Weixuan Zhang , Lionel Ott , Marco Tognon , Roland Siegwart

We present a novel method for learning hybrid force/position control from demonstration. We learn a dynamic constraint frame aligned to the direction of desired force using Cartesian Dynamic Movement Primitives. In contrast to approaches…

机器人学 · 计算机科学 2022-05-05 Adam Conkey , Tucker Hermans

Stable dynamical systems are a flexible tool to plan robotic motions in real-time. In the robotic literature, dynamical system motions are typically planned without considering possible limitations in the robot's workspace. This work…

机器人学 · 计算机科学 2020-03-26 Matteo Saveriano , Dongheui Lee

Friction is an unavoidable phenomenon that exists in all mechanical systems incorporating parts with relative motion. It is well-known that friction is a serious impediment for precise servo control, hence the interest to devise a procedure…

系统与控制 · 电气工程与系统科学 2025-08-04 Jose Guadalupe Romero , Romeo Ortega , Leyan Fang , Alexey Bobtsov

Cooperative transport, the simultaneous movement of an object by multiple agents, has been widely observed in biological systems such as ant colonies, which improve efficiency and adaptability in dynamic environments. Inspired by these…

A particular type of assistive robots designed for physical interaction with objects could play an important role assisting with mobility and fall prevention in healthcare facilities. Autonomous mobile manipulation presents a hurdle prior…

机器人学 · 计算机科学 2020-11-12 Roya Sabbagh Novin , Amir Yazdani , Andrew Merryweather , Tucker Hermans

Sound is an information-rich medium that captures dynamic physical events. This work presents STReSSD, a framework that uses sound to bridge the simulation-to-reality gap for stochastic dynamics, demonstrated for the canonical case of a…

机器人学 · 计算机科学 2020-11-09 Carolyn Matl , Yashraj Narang , Dieter Fox , Ruzena Bajcsy , Fabio Ramos

Accurately modeling friction in robotics remains a core challenge, as robotics simulators like MuJoCo and PyBullet use simplified friction models or heuristics to balance computational efficiency with accuracy, where these simplifications…

机器人学 · 计算机科学 2026-03-20 Asutay Ozmen , João P. Hespanha , Katie Byl

Dynamics simulation with frictional contacts is important for a wide range of applications, from cloth simulation to object manipulation. Recent methods using smoothed lagged friction forces have enabled robust and differentiable simulation…

图形学 · 计算机科学 2024-08-01 Egor Larionov , Andreas Longva , Uri M. Ascher , Jan Bender , Dinesh K. Pai

We present the design of a low-cost wheeled mobile robot, and an analytical model for predicting its motion under the influence of motor torques and friction forces. Using our proposed model, we show how to analytically compute the gradient…

机器人学 · 计算机科学 2020-09-25 Yanshi Luo , Abdeslam Boularias , Mridul Aanjaneya

Most existing distance metric learning methods assume perfect side information that is usually given in pairwise or triplet constraints. Instead, in many real-world applications, the constraints are derived from side information, such as…

机器学习 · 计算机科学 2012-03-19 Kaizhu Huang , Rong Jin , Zenglin Xu , Cheng-Lin Liu

The objective of this note is to share some reflections of the authors regarding the use of sliding mode designs in control systems. We believe the abundant, and ever increasing, appearance of this kind of works on our scientific…

系统与控制 · 电气工程与系统科学 2025-10-10 Romeo Ortega , Leyan Fang , Jose Guadalupe Romero

Snakes' bodies are covered in scales that make it easier to slide in some directions than in others. This frictional anisotropy allows for sliding locomotion with an undulatory gait, one of the most common for snakes. Isotropic friction is…

生物物理 · 物理学 2019-06-12 Silas Alben

In the Fourth Industrial Revolution, wherein artificial intelligence and the automation of machines occupy a central role, the deployment of robots is indispensable. However, the manufacturing process using robots, especially in…

Controlling Wheeled-legged robots is challenging especially on slippery surfaces due to their dependence on continuous ground contact. Unlike quadrupeds or bipeds, which can leverage multiple fixed contact points for recovery,…

机器人学 · 计算机科学 2025-08-05 Bo Peng , Donghoon Baek , Qijie Wang , Joao Ramos
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