Corrigendum to “ICACIA: An Intelligent Context-Aware framework for COBOT in defense industry using ontological and deep learning models” [Robotics and Autonomous Systems Volume 157, November 2022, 104234] (Robotics and Autonomous Systems (2022) 157, (S0921889022001361), (10.1016/j.robot.2022.104234))

Arodh Lal Karn, Sudhakar Sengan*, Ketan Kotecha, Irina V. Pustokhina, Denis A. Pustokhin, V. Subramaniyaswamy, Dharam Buddhi

*Corresponding author for this work

Research output: Contribution to journal › Comment/debate

Fingerprint

Dive into the research topics of 'Corrigendum to “ICACIA: An Intelligent Context-Aware framework for COBOT in defense industry using ontological and deep learning models” [Robotics and Autonomous Systems Volume 157, November 2022, 104234] (Robotics and Autonomous Systems (2022) 157, (S0921889022001361), (10.1016/j.robot.2022.104234))'. Together they form a unique fingerprint.

Engineering

Physics

Computer Science

Social Sciences

Medicine and Dentistry