Workshop Schedule
This workshop is intended to identify the challenges associated with autonomous racing and to foster discussion about how current research can address them. The workshop will feature prominent speakers, and contributions from the growing autonomous racing robotics community.
The workshop is happening in-person in the Philadelphia Convention Center Room 121B. Additionally we welcome participants to listen and contribute virtually via zoom: LINK
| Time (US EDT) |
Session | Speaker & Affiliation | Title of the Talk |
|---|---|---|---|
| 9:00 - 09:10 | Welcome Remarks |
Johannes Betz (University of Pennsylvania), Madhur Behl (University of Virginia), Venkat Krovi (Clemson University), Rahul Mangharam (University of Pennsylvania) [Link to Recorded Video] |
|
| 9:10 - 09:30 | Invited Session 1 |
Mauro Salazar (TU Eindhoven) |
Racing at the Edge of Convexity: Minimum-time Design and Operation of Electrified Race Cars [Link to Recorded Video] |
| 9:30 - 09:50 | Bryn Balcombe (Oxbotica) |
The next steps towards motorsport’s Kasparov vs Deep Blue moment [Link to Recorded Video] |
|
| 09:50 - 10:10 | Srikanth Saripalli (Texas A&M University) |
High Speed Off-Road Autonomy [Link to Recorded Video] |
|
| 10:10 - 10:20 | Q& A and Discussion for Session 1 [Link to Recorded Video] |
||
| 10:20 - 10:30 | Contributed Papers 1-5 |
Simon Schäfer (KIT Karlsruhe) |
The Software Stack That Won the Formula Student Driverless Competition [Link to Paper] [Link to Recorded Video] |
| 10:30 - 10:40 | Drew Hanover (University of Zurich) |
Adaptive Nonlinear MPC for Quadrotors [Link to Paper] [Link to Recorded Video] |
|
| 10:40 - 10:50 | Robert Penicka (University of Zurich) |
Minimum-time Planning for Aerial Robots in Cluttered Environments [Link to Paper] [Link to Recorded Video] |
|
| 10:50 - 11:00 | Ferenc Török (TU Munich) |
Structured Deep Neural Motion Prediction of Opposing Vehicles for an Autonomous Racecar [Link to Paper] [Link to Recorded Video] |
|
| 11:00 - 11:10 | Bo-Jiun Hsu (National Uni Taiwan) |
Image-Based Conditioning for Action Policy Smoothness in Autonomous Miniature Car Racing with Reinforcement Learning [Link to Paper] [Link to Recorded Video] |
|
| 11:10 - 11:20 | Q&A and Discussion for Contributed Papers 1-5 | ||
| 11:20 - 11:40 | Invited Session 2 |
Marko Bertogna (University of Modena) |
High-Performance Platforms for High-Performance Racing [Link to Recorded Video] |
| 11:40 - 12:00 | Mac Schwager (Stanford University) |
Game On! Game Theoretic Planning for Autonomous Racing [Link to Recorded Video] |
|
| 12:00 - 12:20 | Alexander Wischnweski (driveblocks; TU Munich) |
From the racetrack to the road – how autonomous driving technology benefits from driverless vehicles racing against each other [Link to Recorded Video] |
|
| 12:20 - 12:30 | Q&A and Discussion for Session 2 [Link to Recorded Video] |
||
| 12:30 - 13:30 | Lunch Break | ||
| 13:30 - 13:40 | Contributed Papers 6-10 |
Andrea Ticozzi (Politecnico di Milano) |
Fast and efficient smooth polynomial lane change generation for high-speed autonomous driving [Link to Paper] [Link to Recorded Video] |
| 13:40 - 13:50 | Rodrigo Senofieni (Politecnico di Milano) |
Environmental envelope generation for path planning algorithms of autonomous vehicles [Link to Paper] [Link to Recorded Video] |
|
| 13:50 - 14:00 | Joshua Spisak (Carnegie Mellon University) |
Robust Modeling and Controls for Racing on the Edge [Link to Paper] [Link to Recorded Video] |
|
| 14:00 - 14:10 | Yiwei Lyu (Carnegie Mellon University) |
Adaptive Safe Merging Control for Heterogeneous Autonomous Vehicles using Parametric Control Barrier Functions [Link to Paper] [Link to Recorded Video] |
|
| 14:10 - 14:20 | Edoardo Ghignone (ETH Zurich) |
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing - A Reinforcement Learning Approach [Link to Paper] [Link to Recorded Video] |
|
| 14:20 - 14:30 | Q&A and Discussion for Contributed Papers 6-10 | ||
| 14:30 - 14:50 | Invited Session 3 |
Sergio Savaresi (Politecnico di Milano) |
Which future of autonomous racing? [Link to Recorded Video] |
| 14:50 - 15:10 | Peter Wurman (Sony.AI) |
Outracing champion Gran Turismo drivers with deep reinforcement learning [Link to Recorded Video] |
|
| 15:10 - 15:30 | Jonathan Goh (Toyota Research Institute) |
Beyond the Limits: The How and Why of Autonomous Drifting [Link to Recorded Video] |
|
| 15:30 - 15:50 | Evangelos Theodorou (Giorgia Tech Universty) |
Control Architectures for Agile Autonomy [Link to Recorded Video] |
|
| 15:50 - 16:00 | Q&A and Discussion for Session 3 [Link to Recorded Video] |
||
| 16:00 - 16:10 | Contributed Papers 11-14 |
Thomas Fork (UC Berkeley) |
Overtaking Maneuvers on a Nonplanar Racetrack [Link to Paper] [Link to Recorded Video] |
| 16:10 - 16:20 | Edward Zhu (UC Berkeley) |
A Gaussian Process Model for Opponent Prediction in Autonomous Racing [Link to Paper] [Link to Recorded Video] |
|
| 16:20 - 16:30 | Feng Han (Rutgers University) |
Safe Motion Control of Vehicle Ski-Stunt Maneuvers [Link to Paper] [Link to Recorded Video] |
|
| 16:30 - 16:40 | Elizabeth Keefer (Auburn University) |
Efficient Graph-Based Motion Planning for an Autonomous Race Car [Link to Paper] [Link to Recorded Video] |
|
| 16:40 - 16:50 | Q&A and Discussion for Contributed Papers 11-14 | ||
| 16:50 - 17:00 | Concluding Remarks |
Johannes Betz (University of Pennsylvania), Madhur Behl (University of Virginia), Venkat Krovi (Clemson University), Rahul Mangharam (University of Pennsylvania) [Link to Recorded Video] |
|