2021

S. Saunderson and G. Nejat, "Persuasive robots should avoid authority: The effects of formal and real authority on persuasion in human-robot interaction," Science Robotics, vol. 6, no. 58, eabd5186 (2021) (PDF).

L. Rose, M. Bazzocchi and G. Nejat, “A Model-Free Deep Reinforcement Learning Approach for Control of Exoskeleton Gait Patterns,” Robotica, Accepted.

D. Dworakowski, C. Thompson, M. Pham-Hung and G. Nejat “A Robot Architecture Using ContextSLAM to Find Products in Unknown Crowded Retail Environments,” Robotics, Special Issue on 10th Anniversary of Robotics, Early Access.

H. Hu, K. Zhang, A. H. Tan, M. Ruan, C. Agia and G. Nejat, "A Sim-to-Real Pipeline for Deep Reinforcement Learning for Autonomous Robot Navigation in Cluttered Rough Terrain," in IEEE Robotics and Automation Letters, vol. 6, no. 4, pp. 6569-6576, Oct. 2021 (PDF).

S. Saunderson and G. Nejat, “Robots Asking for Favors: The Effects of Directness and Familiarity on Persuasive HRI,” IEEE Robotics and Automation Letters (RA-L), vol. 6, no. 2, pp. 1793-1800, April 2021. (PDF).

K. Eshaghi, Z. Kashino, H.J. Yoon, G. Nejat, B. Benhabib, "An inchworm-inspired motion strategy for robotic swarms," Robotica, 2021 (PDF).

C. Getson, and G. Nejat, "Socially Assistive Robots Helping Older Adults through the Pandemic and Life after COVID-19," Robotics 2021, 10, 106. https://doi.org/10.3390/robotics10030106 (PDF).

M. Effati, Y.-C. Sun, H. Naguib, G. Nejat “Multimodal Detection of COVID-19 Symptoms using Deep Learning & Probability-based Weighting of Modes,” IEEE WiMob International Workshop on e-Health Pervasive Wireless Applications and Services, Oct. 2021 (PDF).