Jessy W. Grizzle

Jessy W. Grizzle

University of Michigan

H-index: 76

North America-United States

About Jessy W. Grizzle

Jessy W. Grizzle, With an exceptional h-index of 76 and a recent h-index of 47 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of nonlinear control, robotics, automotive systems, control systems, bipedal robots.

His recent articles reflect a diverse array of research interests and contributions to the field:

Demonstrating a Robust Walking Algorithm for Underactuated Bipedal Robots in Non-flat, Non-stationary Environments

Realtime safety control for bipedal robots to avoid multiple obstacles via clf-cbf constraints

Fall Prediction for Bipedal Robots: The Standing Phase

Systems and methods for informable multi-objective and multi-direction rapidly exploring random tree route planning

Optimizing Lead Time in Fall Detection for a Planar Bipedal Robot

CLF-CBF Constraints for Real-Time Avoidance of Multiple Obstacles in Bipedal Locomotion and Navigation

Informable Multi-Objective and Multi-Directional RRT* System for Robot Path Planning

Stair climbing using the angular momentum linear inverted pendulum model and model predictive control

Jessy W. Grizzle Information

University

Position

Director of Michigan Robotics Prof. of EECS ECE and ME

Citations(all)

26084

Citations(since 2020)

10073

Cited By

19928

hIndex(all)

76

hIndex(since 2020)

47

i10Index(all)

229

i10Index(since 2020)

119

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Jessy W. Grizzle Skills & Research Interests

nonlinear control

robotics

automotive systems

control systems

bipedal robots

Top articles of Jessy W. Grizzle

Title

Journal

Author(s)

Publication Date

Demonstrating a Robust Walking Algorithm for Underactuated Bipedal Robots in Non-flat, Non-stationary Environments

arXiv preprint arXiv:2403.02486

Oluwami Dosunmu-Ogunbi

Aayushi Shrivastava

Jessy W Grizzle

2024/3/4

Realtime safety control for bipedal robots to avoid multiple obstacles via clf-cbf constraints

arXiv preprint arXiv:2301.01906

Jinze Liu

Minzhe Li

Jiunn-Kai Huang

Jessy W Grizzle

2023/1/5

Fall Prediction for Bipedal Robots: The Standing Phase

arXiv preprint arXiv:2309.14546

M Eva Mungai

Gokul Prabhakaran

Jessy W Grizzle

2023/9/25

Systems and methods for informable multi-objective and multi-direction rapidly exploring random tree route planning

2023/8/24

Optimizing Lead Time in Fall Detection for a Planar Bipedal Robot

M Eva Mungai

Jessy Grizzle

2023/7/19

CLF-CBF Constraints for Real-Time Avoidance of Multiple Obstacles in Bipedal Locomotion and Navigation

Jinze Liu

Minzhe Li

Jessy W Grizzle

Jiunn-Kai Huang

2023/10/1

Informable Multi-Objective and Multi-Directional RRT* System for Robot Path Planning

Jiunn-Kai Huang

Yingwen Tan

Dongmyeong Lee

Vishnu R Desaraju

Jessy W Grizzle

2023/5/29

Stair climbing using the angular momentum linear inverted pendulum model and model predictive control

Oluwami Dosunmu-Ogunbi

Aayushi Shrivastava

Grant Gibson

Jessy W Grizzle

2023/10/1

Efficient anytime clf reactive planning system for a bipedal robot on undulating terrain

IEEE Transactions on Robotics

Jiunn-Kai Huang

Jessy W Grizzle

2023/1/6

Exploring kinodynamic fabrics for reactive whole-body control of underactuated humanoid robots

Alphonsus Adu-Bredu

Grant Gibson

Jessy Grizzle

2023/10/1

Zero dynamics, pendulum models, and angular momentum in feedback control of bipedal locomotion

Journal of Dynamic Systems, Measurement, and Control

Yukai Gong

Jessy W Grizzle

2022/12/1

Terrain-adaptive, alip-based bipedal locomotion controller via model predictive control and virtual constraints

Grant Gibson

Oluwami Dosunmu-Ogunbi

Yukai Gong

Jessy Grizzle

2022/10/23

Multitask learning for scalable and dense multilayer bayesian map inference

IEEE Transactions on Robotics

Lu Gan

Youngji Kim

Jessy W Grizzle

Jeffrey M Walls

Ayoung Kim

...

2022/8/31

Energy-based legged robots terrain traversability modeling via deep inverse reinforcement learning

IEEE Robotics and Automation Letters

Lu Gan

Jessy W Grizzle

Ryan M Eustice

Maani Ghaffari

2022/7/4

A new framework for registration of semantic point clouds from stereo and RGB-D cameras

Ray Zhang

Tzu-Yuan Lin

Chien Erh Lin

Steven A Parkison

William Clark

...

2021

Optimal target shape for LiDAR pose estimation

IEEE Robotics and Automation Letters

Jiunn-Kai Huang

William Clark

Jessy W Grizzle

2021/12/28

LiDARTag: A real-time fiducial tag system for point clouds

IEEE Robotics and Automation Letters

Jiunn-Kai Huang

Shoutian Wang

Maani Ghaffari

Jessy W Grizzle

2021/3/31

Versatile dynamic motion generation framework: Demonstration with a crutch-less exoskeleton on real-life obstacles at the cybathlon 2020 with a complete paraplegic person

Frontiers in Robotics and AI

Vaiyee Huynh

Guillaume Burger

Quoc Viet Dang

Raphaël Pelgé

Guilhem Boéris

...

2021/9/24

Toward safety-aware informative motion planning for legged robots

arXiv preprint arXiv:2103.14252

Sangli Teng

Yukai Gong

Jessy W Grizzle

Maani Ghaffari

2021/3/26

A roadmap for us robotics–from internet to robotics 2020 edition

Foundations and Trends® in Robotics

Henrik Christensen

Nancy Amato

Holly Yanco

Maja Mataric

Howie Choset

...

2021/7/25

See List of Professors in Jessy W. Grizzle University(University of Michigan)

Co-Authors

H-index: 63
Paulo Tabuada

Paulo Tabuada

University of California, Los Angeles

H-index: 62
Aaron D. Ames

Aaron D. Ames

California Institute of Technology

H-index: 60
Ryan M. Eustice

Ryan M. Eustice

University of Michigan

H-index: 43
Maria Domenica Di Benedetto

Maria Domenica Di Benedetto

Università degli Studi dell'Aquila

H-index: 43
Koushil Sreenath

Koushil Sreenath

University of California, Berkeley

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