TomCat

ToMCAT is comprised of a set of local agents (one for each human teammate) equipped with cameras and microphones to capture facial expressions and speech, as well as virtual sensors that record the local environment, the actions performed by human teammates, and chat exchanges between them. The local agents communicate with their respective humans, as well as with a global agent that performs coordination and global team optimization. The ToMCAT project is funded by a 4.5 year, $7.5M DARPA grant as part of the Artificial Social Intelligence for Successful Teams (ASIST) program.

ToMCAT is a DARPA-funded project that consists of local agents (one per human teammate) equipped with cameras, microphones, and virtual sensors to capture facial expressions, speech, environment data, actions, and chat exchanges. These agents communicate with their respective humans and a global agent for coordination and team optimization. The project is part of the Artificial Social Intelligence for Successful Teams (ASIST) program, funded by a 4.5 year, $7.5M DARPA grant.

View on GitHub