Intel and the Bay Area Computer Vision and Deep Learning Meetup Group would like to invite you to a pair of talks taking place on the evening of Wednesday, February 13, 2019. Intel and one of its customers, Marble, will each share perspectives on the topic of navigation and robots, both from the company who built the product and from the company who supplied the chipset.
Rachit Bhargava of Marble will speak on “Designing Navigation on a Real-life Robot: Lessons Learned” and Philip Schmidt of Intel will speak on “Visual Navigation for Wheeled Autonomous Robots”. From the event page:
Designing Navigation on a Real-life Robot: Lessons Learned
Marble aims to provide end-to-end delivery services for grocery, meals and parcels for a more affordable, environmentally friendly and reliable delivery. This involves dealing with the complexities associated with autonomously navigating on sidewalks. This talk focuses on why we adopted RealSense to address these challenges, an overview of how it contributes to the various pieces of the robot's navigation system and Marble's experiences with integrating them in the software stack, from a stability and reliability perspective.
Rachit Bhargava is a founding robotics engineer at Marble Robot Inc where he works on developing perception algorithms for the navigation system. He recently graduated from the University of Pennsylvania with a Master's degree in Robotics and was part of the GRASP laboratory. Before that he was part of the Robotics Research Center at IIIT Hyderabad working on planning algorithms for space robots and SLAM for ground robots.
Visual Navigation for Wheeled Autonomous Robots
Robotics navigation is a key challenge that needs to be addressed by anyone designing autonomous robots. Philip Schmidt from Intel will provide a quick introduction to SLAM and sensor-fusion algorithms. He will then provide an overview of latest Intel RealSense cameras and demo how they are being used on a robot to navigate and perform obstacle avoidance. He will also walk through some sample code for better understanding of these capabilities.
Phillip Schmidt is a software engineer in the Intel RealSense Group where he has been working on algorithms for SLAM and sensor fusion for robotic applications. He holds a master’s degree in control engineering from the University of Stuttgart, Germany, and, before joining Intel, was a research engineer at the German Aerospace Agency (DLR) where he developed algorithms for robot vision, estimation & control.
Networking (and pizza!) begins at 6 pm and the presentations start at 7 pm. The Meetup will be held at Intel in the SC-12 auditorium, 3600 Juliette Lane, Santa Clara, CA. For more information and to register, please see the event page.
