Call for Papers

We invite researchers from various domains of robotics and AI to submit their original works in the domain of motion planning for autonomous agents. The maximum length of contributions are 6 pages (excluding references). Submitted papers will be reviewed by program committee members and selected works will be invited to present their work in a poster session. A select few papers will also be invited to give an oral presentation. All accepted manuscript will appear in a special issue of TBD...

Program committee

  • Randy Goebel - University of Alberta
  • Amir Rasouli, Huawei Technologies Canada
  • Matthew E. Taylor - University of Alberta
  • Liam Faull - University of Montreal
  • Krzysztof Czarnecki - University of Waterloo
  • Renjie Liao - University of British Columbia
  • David F. Llorca - University of Alcala
  • Tianpei Yang - University of Alberta
  • Iuliia Kotseruba - York University
  • Ehsan Ahmadi - University of Alberta
  • Kasra Rezaee - Huawei Technologies Canada
  • Soheil Alizadeh - Huawei Technologies Canada
  • Dong Li - Huawei

Topics

  • Motion planning in autonomous driving
  • Behaviour and interaction modeling
  • Collision risk assessment in driving
  • Offline and online reinforcement learning
  • Heuristics, supervised, and unsupervised learning for motion planning
  • Uncertainty modeling in planning
  • Predictive planning and control
  • Context encoding using HD and SD maps
  • Short-term and long-term motion planning

Notable dates

TBD