Wearable robots for the real world need vision

Letizia Gionfrida^{1

2}, Daekyum Kim^{3

4}, Davide Scaramuzza⁵, Dario Farina⁶, Robert D Howe²

Affiliations

¹ Department of Informatics, Faculty of Natural Mathematics and Engineering Sciences, King's College London, Bush House, 30 Aldwych, London WC2B 4BG, UK.
² John A. Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
³ School of Smart Mobility, Korea University, Seoul 02841, South Korea.
⁴ School of Mechanical Engineering, Korea University, Seoul 02841, South Korea.
⁵ Robotics and Perception Group, Department of Informatics, University of Zurich, Andreasstrasse 15, 8050 Zurich, Switzerland.
⁶ Department of Bioengineering, Faculty of Engineering, Imperial College London, Exhibition Rd, South Kensington, London SW7 2BX, UK.

Review

Letizia Gionfrida et al. Sci Robot. 2024.

. 2024 May 22;9(90):eadj8812.

doi: 10.1126/scirobotics.adj8812. Epub 2024 May 22.

Letizia Gionfrida^{1

2}, Daekyum Kim^{3

4}, Davide Scaramuzza⁵, Dario Farina⁶, Robert D Howe²

¹ Department of Informatics, Faculty of Natural Mathematics and Engineering Sciences, King's College London, Bush House, 30 Aldwych, London WC2B 4BG, UK.
² John A. Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
³ School of Smart Mobility, Korea University, Seoul 02841, South Korea.
⁴ School of Mechanical Engineering, Korea University, Seoul 02841, South Korea.
⁵ Robotics and Perception Group, Department of Informatics, University of Zurich, Andreasstrasse 15, 8050 Zurich, Switzerland.
⁶ Department of Bioengineering, Faculty of Engineering, Imperial College London, Exhibition Rd, South Kensington, London SW7 2BX, UK.

Abstract

To enhance wearable robots, understanding user intent and environmental perception with novel vision approaches is needed.