As retail and e-commerce demands continue to intensify, more businesses are considering autonomous vehicles. Gatik helps their customers in the retail industry meet consumer demand for real-time, contactless goods delivery by providing short-haul logistics services using autonomous vehicles (AVs). The company’s fleet of Class 1-6 AVs moves goods from micro-fulfilment centers and dark stores to pick-up points – retail stores, distribution centers and offices. Gatik operates its vehicles up to 7 days a week, 12 hours a day, on known routes with fixed pick-up and drop-off locations.
In this RoboBusiness Direct session taking place at 2:00 PM on Thursday, October 8th, Apeksha Kumavat, Co-Founder and Chief Engineer at Gatik, will discuss how Gatik’s approach to constraining the Operational Design Domain (ODD), the specific domain which an automated driving system is designed to properly operate, including types of roadways, ranges of speed, weather, time of day, and environmental conditions, has brought middle mile autonomous delivery to market quickly and effectively by reducing the biggest threat to the autonomous revolution – edge cases.
About RoboBusiness Direct
RoboBusiness Direct is an ongoing series of digital events delivered by brightest minds from the leading robotics and automation organizations around the world. The series complements continuing coverage and analysis in Robotics Business Review and The Robot Report, a sibling site to Robotics Business Review.
RoboBusiness Direct is designed to impart to business and engineering professionals the information they need to identify market opportunities, successfully develop and deploy the next generation of commercial robotics systems, and accelerate their businesses.
You can find a listing of RoboBusiness Direct speakers and session topics, along with the dates and times of RoboBusiness Direct programs, HERE.
There is no charge to register for RoboBusiness Direct programs.
About Gatik Co-founder Apeksha Kumavat
Apeksha Kumavat is the co-founder and chief engineer at Gatik, a Palo Alto, Calif.-based based start-up developing autonomous vehicles. Prior to founding Gatik, Kumavat was the perception lead at Ford Motor Co.’s self-driving car unit, where she designed feature-detection methods to assist with online localization and developed perception algorithms for autonomous vehicles.
Kumavat has also held the position of lead machine-learning engineer at Otsaw Digital, where she designed and developed state-of-the-art deep learning networks for autonomous navigation of the O-R3 patrolling robot in non-static outdoor environments.
Kumavat earned her M.S. with a focus on machine/deep learning from Purdue University. She has contributed towards research in areas including machine learning, cognitive science, and robotics.
