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Challenges for Communication Decision-Making in Sequential Human-Robot Collaborative Tasks
| Content Provider | Semantic Scholar |
|---|---|
| Author | Unhelkar, Vaibhav V. Yang, Jessie X. |
| Copyright Year | 2017 |
| Abstract | Effective communication between teammates is critical to the success of collaboration, including human-robot collaboration. For enabling human robot communication, several modalities are actively being researched — such as, text, speech, visual signals, and legible motion. The design of these modalities is necessary to achieve effective communication; however, it is not sufficient. Communication typically requires both the human and robot to expend resources; and too much or too little communication has the potential to adversely affect task performance. Here, we focus on the complementary but relatively less explored problem of decision-making for communication — i.e., deciding if and when to use an available communication modality during human-robot collaborative tasks. We briefly discuss the modeling and algorithmic challenges for communication decisionmaking in human-robot and human-agent teams. The article concludes with an overview of our past and on-going research in developing algorithms for communication decision-making in sequential human-robot collaborative tasks. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://interactive.mit.edu/sites/default/files/documents/unhelkar_ahri2017.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
