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Discrete spatial patterns and their continuous transformations are two important regularities contained in natural signals. Lie groups and representation theory are mathematical tools that have been used in previous works to model…

Computer Vision and Pattern Recognition · Computer Science 2020-12-23 Ho Yin Chau , Frank Qiu , Yubei Chen , Bruno Olshausen

This paper presents a contact-aided inertial-kinematic floating base estimation for humanoid robots considering an evolution of the state and observations over matrix Lie groups. This is achieved through the application of a geometrically…

The safety and accuracy of robotic navigation hold paramount importance, especially in the realm of soft continuum robotics, where the limitations of traditional rigid sensors become evident. Encoders, piezoresistive, and potentiometer…

Robotics · Computer Science 2024-04-22 Eric Vincent Galeta , Ayman A. Nada , Sabah M. Ahmed , Victor Parque , Haitham El-Hussieny

Tendon-actuated concentric tube mechanisms combine the advantages of tendon-driven continuum robots and concentric tube robots while addressing their respective limitations. They overcome the restricted degrees of freedom often seen in…

In this paper, we study integrated estimation and control of soft robots. A significant challenge in deploying closed loop controllers is reliable proprioception via integrated sensing in soft robots. Despite the considerable advances…

Robotics · Computer Science 2020-11-18 Lasitha Weerakoon , Zepeng Ye , Rahul Subramonian Bama , Elisabeth Smela , Miao Yu , Nikhil Chopra

Scaling concepts and renormalization group (RG) methods are applied to a simple linear model of human posture control consisting of a trembling or quivering string subject to damping and restoring forces. The string is driven by…

Condensed Matter · Physics 2009-10-31 Francisco Alonso-Sanchez , David Hochberg

We propose Lie group embedded dynamical neural networks (LieEDNN) and the corresponding learning algorithms based on gradient descent and metric projection on smooth manifold, where we treat Lie group as an intrinsic representation for…

Machine Learning · Computer Science 2026-05-27 Tianwei Wang , Bryan Chen , Qian Zuo , Qiyue Xia , Xin Li , Wei Pang

Whole-arm tactile sensing enables a robot to sense contact and infer contact properties across its entire arm. Within this paper, we demonstrate that using data-driven methods, a humanoid robot can infer mechanical properties of objects…

Robotics · Computer Science 2017-11-07 Tapomayukh Bhattacharjee , James M. Rehg , Charles C. Kemp

This paper reports a novel result: with proper robot models on matrix Lie groups, one can formulate the kinodynamic motion planning problem for rigid body systems as \emph{exact} polynomial optimization problems that can be relaxed as…

Robotics · Computer Science 2023-05-24 Sangli Teng , Ashkan Jasour , Ram Vasudevan , Maani Ghaffari

Although strain-based models have been widely adopted in robotics, no comparison beyond the uniform bending test is commonly recognized to assess their performance. In addition, the increasing effort in prototyping continuum robots…

Robotics · Computer Science 2026-02-27 Annika Delucchi , Vincenzo Di Paola , Andreas Müller , and Matteo Zoppi

This paper is concerned with the problem of estimating (interpolating and smoothing) the shape (pose and the six modes of deformation) of a slender flexible body from multiple camera measurements. This problem is important in both biology,…

Faced with complex and unstructured construction environments, wheeled and tracked robots exhibit significant limitations in terrain adaptability and flexibility, making it difficult to meet the requirements of autonomous operation.…

Robotics · Computer Science 2025-07-23 Xiao Liu , Xianlong Yang , Weijun Wang , Wei Feng

Tendon-driven continuum robot kinematic models are frequently computationally expensive, inaccurate due to unmodeled effects, or both. In particular, unmodeled effects produce uncertainties that arise during the robot's operation that lead…

Robotics · Computer Science 2024-04-08 Jordan Thompson , Brian Y. Cho , Daniel S. Brown , Alan Kuntz

The trajectory tracking problem is a fundamental control task in the study of mechanical systems. A key construction in tracking control is the error or difference between an actual and desired trajectory. This construction also lies at the…

Systems and Control · Electrical Eng. & Systems 2024-02-29 Matthew Hampsey , Pieter van Goor , Ravi Banavar , Robert Mahony

Enabling dexterous manipulation and safe human-robot interaction, soft robots are widely used in numerous surgical applications. One of the complications associated with using soft robots in surgical applications is reconstructing their…

Robotics · Computer Science 2023-04-26 Amirhosein Alian , George Mylonas , James Avery

State estimation is one of the fundamental problems in robotics. For soft continuum robots, this task is particularly challenging because their states (poses, strains, internal wrenches, and velocities) are inherently infinite-dimensional…

Robotics · Computer Science 2025-10-10 Tongjia Zheng , Jessica Burgner-Kahrs

We continue earlier discussions on the exact renormalization group and loop variables on the string world sheet for closed and open string backgrounds. The world sheet action with a UV regulator is written in a generally background…

High Energy Physics - Theory · Physics 2015-06-22 B. Sathiapalan

Controlling soft continuum robotic arms is challenging due to their hyper-redundancy and dexterity. In this paper we demonstrate, for the first time, closed-loop control of the configuration space variables of a soft robotic arm, composed…

Robotics · Computer Science 2022-10-04 Azadeh Doroudchi , Zhi Qiao , Wenlong Zhang , Spring Berman

Recently, a time-varying quadratic programming (QP) framework that describes the tracking operations of redundant robot manipulators is introduced to handle the kinematic resolutions of many robot control tasks. Based on the generalization…

Systems and Control · Electrical Eng. & Systems 2020-09-03 Lingdong Kong

Social group detection is a crucial aspect of various robotic applications, including robot navigation and human-robot interactions. To date, a range of model-based techniques have been employed to address this challenge, such as the…

Computer Vision and Pattern Recognition · Computer Science 2023-04-13 Simindokht Jahangard , Munawar Hayat , Hamid Rezatofighi