Constraint programming approaches to electric vehicle and robot routing problems

Driven by global efforts to curb greenhouse gas emissions, there has been significant investment in electric vehicle (EV) technology in recent years, resulting in a substantial increase in EV market share. Concurrently, the demand for mobile robots, such as unmanned aerial vehicles (UAVs) and land-based robots, has also experienced rapid growth, encouraged by recent advances in the autonomy and capabilities of these systems. Common to both of these technologies is the use of electric motors for propulsion and batteries for mobile energy storage. Techniques for the coordination of electric vehicle fleets, whether human-operated or autonomous, must address a variety of unique challenges, including sparse recharging infrastructure, significant recharge durations, and limited battery capacities.

Authors and Affiliations

1. Department of Mechanical & Industrial Engineering, University of Toronto, Toronto, Ontario, Canada

   Kyle E. C. Booth

Corresponding author

Correspondence to Kyle E. C. Booth.

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