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In this work, we demonstrate robust walking in the bipedal robot Digit on uneven terrains by just learning a single linear policy. In particular, we propose a new control pipeline, wherein the high-level trajectory modulator shapes the…

This paper presents an experimental study of a path-tracking framework for autonomous vehicles in which the lateral control command is applied to a dynamic control point along the wheelbase. Instead of enforcing a fixed reference at either…

Robotics · Computer Science 2026-02-03 Alexandre Lombard , Florent Perronnet , Nicolas Gaud , Abdeljalil Abbas-Turki

In this paper, previous works on the Model Predictive Control (MPC) and the Divergent Component of Motion (DCM) for bipedal walking control are extended. To this end, we employ a single MPC which uses a combination of Center of Pressure…

Robotics · Computer Science 2017-03-01 Milad Shafiee-Ashtiani , Aghil Yousefi-Koma , Masoud Shariat-Panahi

The use of a feedback motion plan instead of the decoupled scheme consisting of separate plan and control phases can facilitate the task of proving the properties of an autonomous system. The advantage of using a feedback motion plan is the…

Robotics · Computer Science 2019-10-16 Giovanni Miraglia , Loyd Hook

This paper presents a novel framework to realize proprioception and closed-loop control for soft manipulators. Deformations with large elongation and large bending can be precisely predicted using geometry-based sensor signals obtained from…

Robotics · Computer Science 2023-09-26 Yinan Meng , Guoxin Fang , Jiong Yang , Yuhu Guo , Charlie C. L. Wang

Bipedal robots are essentially unstable because of their complex kinematics as well as high dimensional state space dynamics, hence control and generation of stable walking is a complex subject and still one of the active topics in the…

Robotics · Computer Science 2019-06-06 Mohammadreza Kasaei , Nuno Lau , Artur Pereira

This paper proposes a novel control framework for agile and robust bipedal locomotion, addressing model discrepancies between full-body and reduced-order models. Specifically, assumptions such as constant centroidal inertia have introduced…

Robotics · Computer Science 2024-09-17 Seung Hyeon Bang , Jaemin Lee , Carlos Gonzalez , Luis Sentis

With rapid advancements in exoskeleton hardware technologies, successful assessment and accurate control remain challenging. This study introduces a modular sensor-based system to enhance biomechanical evaluation and control in lower-limb…

Robotics · Computer Science 2024-12-20 Giorgos Marinou , Ibrahima Kourouma , Katja Mombaur

We present a multi-contact walking pattern generator based on preview-control of the 3D acceleration of the center of mass (COM). A key point in the design of our algorithm is the calculation of contact-stability constraints. Thanks to a…

Robotics · Computer Science 2016-10-24 Stéphane Caron , Abderrahmane Kheddar

As bipedal robots become more and more popular in commercial and industrial settings, the ability to control them with a high degree of reliability is critical. To that end, this paper considers how to accurately estimate which feet are…

Robotics · Computer Science 2026-02-12 J. Joe Payne , Daniel A. Hagen , Denis Garagić , Aaron M. Johnson

In field environments, numerous robots necessitate manual intervention for restoration of functionality post a turnover, resulting in diminished operational efficiency. This study presents an innovative design solution for a reversible…

Robotics · Computer Science 2023-11-29 Kai Yang , Jiahui Wang , Yuchen Weng , Baolei Wu , Fuqiang Li , Jihong Zhu , Jun Wang

The objective of this paper is to develop and evaluate a directional vibrotactile feedback interface as a guidance tool for postural adjustments during work. In contrast to the existing active and wearable systems such as exoskeletons, we…

Human-Computer Interaction · Computer Science 2022-05-05 Wansoo Kim , Virginia Ruiz Garate , Juan M. Gandarias , Marta Lorenzini , Arash Ajoudani

We are motivated by a study that seeks to better understand the dynamic relationship between muscle activation and paw position during locomotion. For each gait cycle in this experiment, activation in the biceps and triceps is measured…

Methodology · Statistics 2024-07-01 Julia Wrobel , Britton Sauerbrei , Erik A. Kirk , Jian-Zhong Guo , Adam Hantman , Jeff Goldsmith

Feedback optimization has emerged as a promising approach for optimizing the steady-state operation of dynamical systems while requiring minimal modeling efforts. Unfortunately, most existing feedback optimization methods rely on knowledge…

Optimization and Control · Mathematics 2025-09-16 Amir Mehrnoosh , Gianluca Bianchin

We present a new walking controller based on 3LP, a 3D model of bipedal walking that is composed of three pendulums to simulate falling, swing and torso dynamics. Taking advantage of linear equations and closed-form solutions of 3LP, the…

Robotics · Computer Science 2018-01-09 Salman Faraji , Philippe Muellhaupt , Auke J. Ijspeert

To enable humanoid robots to work robustly in confined environments, multi-contact motion that makes contacts not only at extremities, such as hands and feet, but also at intermediate areas of the limbs, such as knees and elbows, is…

This paper presents a solution to the rendezvous control problem for a network of kinematic unicycles in the plane, each equipped with an onboard camera measuring its relative displacement with respect to its neighbors in body frame…

Optimization and Control · Mathematics 2016-05-26 Ashton Roza , Manfredi Maggiore , Luca Scardovi

Walking is a common bipedal and quadrupedal gait and is often associated with terrestrial and aquatic organisms. Inspired by recent evidence of the neural underpinnings of primitive aquatic walking in the little skate Leucoraja erinacea, we…

Quantitative Methods · Quantitative Biology 2020-09-03 F. Giardina , L. Mahadevan

This paper investigates the lateral control problem in vehicular path-following when the feedback sensor(s) are mounted at an arbitrary location in the longitudinal symmetric axis. We point out that some existing literature has abused the…

Systems and Control · Electrical Eng. & Systems 2022-05-17 Wubing B. Qin , Zhaojian Li

This paper presents a method for tailoring a parametric controller based on human ratings. The method leverages supervised learning concepts in order to train a reward model from data. It is applied to a gait rehabilitation robot with the…

Robotics · Computer Science 2020-01-15 Marcel Menner , Lukas Neuner , Lars Lünenburger , Melanie N. Zeilinger