VizRob: Effective Visualizations to Debug Robotic Behaviors

Miguel Campusano, Alexandre Bergel

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review


Building and debugging robotic programs is known to be difficult. The robotic community has produced numerous tools, APIs and middlewares to help debug and trace the construction and execution of robotic behaviors. However, mostof available debugging tools are text and log-oriented, leading toa tedious and ad-hoc debugging activity. In this paper we fully describe VizRob, a tool to debug robotic behaviors using logs and execution time. VizRob producesinteractive visualizations built from log traces within a state machine model, that is, the visual representation of the behavior. VizRob is founded on deficiencies we empirically found from semi-structured interviews and a revision of tutorial materials. A small case study received an initial feedback of VizRob in a robotic software engineering team. Our case study shows: (i) VizRob helps engineers solve intricate debugging scenarios and (ii) engineers perceive VizRob as filling a relevant gap within the current tools for building robotic behavior.

TitelProceedings - 3rd IEEE International Conference on Robotic Computing, IRC 2019
Publikationsdato26. mar. 2019
ISBN (Elektronisk)9781538692455
StatusUdgivet - 26. mar. 2019
Udgivet eksterntJa
Begivenhed3rd IEEE International Conference on Robotic Computing, IRC 2019 - Naples, Italien
Varighed: 25. feb. 201927. feb. 2019


Konference3rd IEEE International Conference on Robotic Computing, IRC 2019

Bibliografisk note

Publisher Copyright:
© 2019 IEEE.


Dyk ned i forskningsemnerne om 'VizRob: Effective Visualizations to Debug Robotic Behaviors'. Sammen danner de et unikt fingeraftryk.