Smart Collaborative Robotic Assistants for High Mix Manufacturing Applications

Dr. Satyandra (SK) Gupta

Professor at University of Southern California

Learning Objectives

This presentation will provide an overview of technologies that enable robots to (1) program themselves, (2) efficiently learn from the observed performance, (3) safely operate in the presence of uncertainty, (4) appropriately call for help during the execution of challenging tasks, and (5) effectively communicate with humans. The use of a team of smart robotic assistants can significantly improve human productivity and eliminate the need for human involvement in tasks that pose risks to human safety. In high-mix application areas, production volume may not be high. Therefore, justifying capital expenditure based on return on investment is often challenging. robot as a service model is eliminating the need for upfront capital expenditure in deploying robots.


Key Takeaways



  • The advent of human-safe robots is enabling robots to collaborate with humans on ergonomically challenging tasks and amplify human productivity

  • AI is enabling robotic assistants to program themselves and be used in high mix manufacturing applications

  • Robot as a service model is eliminating the need for upfront capital expenditure in deploying robotic assistants