{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/morphology-dictates-a-robots-ability-to","title":"Morphology dictates a robot's ability to ground crowd-proposed language","arxiv_id":"1712.05881","date":"2017-12-16","proceeding":null,"authors":["Zahra Mahoor","Jack Felag","Josh Bongard"],"abstract":"As more robots act in physical proximity to people, it is essential to ensure\nthey make decisions and execute actions that align with human values. To do so,\nrobots need to understand the true intentions behind human-issued commands. In\nthis paper, we define a safe robot as one that receives a natural-language\ncommand from humans, considers an action in response to that command, and\naccurately predicts how humans will judge that action if is executed in\nreality. Our contribution is two-fold: First, we introduce a web platform for\nhuman users to propose commands to simulated robots. The robots receive\ncommands and act based on those proposed commands, and then the users provide\npositive and/or negative reinforcement. Next, we train a critic for each robot\nto predict the crowd's responses to one of the crowd-proposed commands. Second,\nwe show that the morphology of a robot plays a role in the way it grounds\nlanguage: The critics show that two of the robots used in the experiment\nachieve a lower prediction error than the others. Thus, those two robots are\nsafer, according to our definition, since they ground the proposed command more\naccurately.","url_abs":"http://arxiv.org/abs/1712.05881v2","url_pdf":"http://arxiv.org/pdf/1712.05881v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"morphology-dictates-a-robots-ability-to","repo_url":"https://github.com/zmahoor/TPR-1.0","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}