Collection

Robotics: Science and Systems 2022

Submission status
Closed
This Special Issue contains 8 original research papers spanning the topics of grasp and manipulation planning, active perception, out-door navigation, control using data-driven and classical ordinary differential equation (ode) models, and high-precision control of aerial vehicles. Most of the contributions include non-trivial robot experiments, in some cases conducted in the field or employing fewer simplifying assumptions (e.g., regarding sensing infrastructure) than prior work. Not all the offerings involve some element of machine learning, but most do, and several articles tackle the problem of data inefficiency head-on.

Editors

  • Shoudong Huang Shoudong Huang , 

    Shoudong Huang

    Shoudong Huang is a Professor in the School of Mechanical and Mechatronic Engineering at the University of Technology Sydney and an internationally recognised researcher whose work focusses on mobile robot navigation in many different areas, including search and rescue, underwater, underground mining, and surgery. He is motivated by a desire to see robots collaborating with humans and helping people in their daily lives, and his work has made significant contributions to the fields of mobile robot simultaneous localisation and mapping, operations research, nonlinear state estimation and nonlinear robust control.

  • Kris Hauser Kris Hauser  &

    Kris Hauser

    Kris Hauser is a Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign, and holds Affiliate appointments in the Department of Electrical and Computer Engineering and the Department of Mechanical Science and Engineering. His research interests include open-world robotics, robot motion planning and control, and semi-autonomous systems, with applications to intelligent vehicles, robotic manipulation, robot-assisted medicine, and legged locomotion.

  • Dylan Shell Dylan Shell

    Dylan Shell

    Dylan A. Shell is an Associate Professor of computer science and engineering at Texas A&M University in College Station, Texas. His research aims to synthesize and analyze complex, intelligent behavior in distributed systems that exploit their physical embedding to interact with the physical world.

Articles (8 in this collection)