We encourage 1-2 pages extended abstract of relevant work that has been previously published, or is to be presented at the main conference. The accepted abstracts will be posted on the workshop website in a compiled yearbook and will not appear in the official IEEE proceedings.
The main goal of the abstract submission is to motivate our expert speakers to interact with our audience and further discuss on (1) how to link symbolic representations with sensory experience while being fully grounded at the signal level to couple perception and execution of actions, and (2) how to open new avenues to build robots with greater learning capability and autonomy. Given these insights, we want to discuss important next steps and open problems in semantic action perception and policy learning.