Embedded Files
A Virtual Workshop at RSS 2020
Workshop Description
Workshop Description
As an ever-growing number of autonomous vehicles are deployed on public roads, developing robust decision-making algorithms becomes increasingly important. To enable better decision making, recent research efforts have focused on detecting, modelling, and predicting the behavior of traffic participants. The first aim of this workshop is to discuss recent advances, open research challenges, and future directions for robust decision making for autonomous driving. This includes the requirements and advances for situation-awareness pipelines to enable robust decision making, the scientific challenges involved in integration of these pipelines, and the decision-making aspects involved towards enabling robust interactive autonomy. The second aim of this workshop, is to discuss the interplay between prediction and planning, given the multi-agent nature of driving. "Socially-aware" motion planning w.r.t. forecasting models of other agents is often often necessary, but also vice-versa: forecasting w.r.t. plans, to anticipate how a robot’s plan will likely affect surrounding drivers. Given the increasing amount of interest in this area in robotics, computer vision, and machine learning communities, we hope this workshop can be a suitable venue to promote further discussion and developments in this area.
Watch
Watch
Schedule
Schedule
Monday, July 13th, on Pacific Time (UTC-7)
Morning
Morning
09:30 AM Welcome
09:35 AM Dorsa Sadigh When our Human Modeling Assumptions Fail: Planning, learning, and prediction in near-accident driving scenarios [recording]
10:15 AM Maxim Dolgov Hybrid AI for AD @ Bosch Research [recording]
10:55 AM Contributed talks [recording]
- Cillian Brewitt
Autonomous Driving with Interpretable Goal Recognition and Monte Carlo Tree Search
paper | video - Danial Kamran
On the Challenges of Safe and Scalable Reinforcement Learning for Automated Driving at Intersections
paper | video - Jack Geary
Altruistic Decision-Making for Autonomous Driving with Sparse Rewards
paper | video - Jierui Lin
Learning a Perception-Logic Network for Unsupervised Scene Conditioned Driving Behavior
paper | video
11:15 AM break
11:30 AM Anca Dragan Game-theoretic driving [recording]
12:10 PM Charlie Tang Multi-agent Negotiations via Self-play and Robust Deep Reinforcement Learning [recording]
12:50 PM Contributed talks [recording]
- Rohan Chandra
Behavior Modeling for Socially Aware Autonomous Driving Using Computational Graph Theory
paper | video - Eric Duong
Predicting Agents' Trajectories by Estimating Their Motion Planners
paper | video - Kyle Wray
POMDP Autonomous Vehicle Visibility Reasoning
paper | video - Ömer Sahin Tas
Tackling Existence Probabilities of Objects with Motion Planning for Automated Urban Driving
paper | video
Afternoon
Afternoon
1:10 PM break
2:00 PM Alyssa Pierson Modeling Socially-Aware and Risk-Aware Autonomy [recording]
2:40 PM Adrien Gaidon The 3 R's and P's of Autonomous Driving: Robustness, Randomness, and Risk in Perception, Prediction, and Planning [recording]
3:20 PM Contributed talks [recording]
- Yan Ding
Task-Motion Planning for Safe and Efficient Urban Driving
paper | video - Andrea Bajcsy
A Robust Control Framework for Intent-Driven Human Motion Prediction
paper | video - Jiachen Li
A2-GNN: Interaction-Aware Trajectory Prediction via Graph Double-Attention Network
paper | video - Weiming Zhi
- Julian Bernhard
Robust Stochastic Bayesian Games for Behavior Space Coverage
arxiv | video - Jerry Zhi-Yang He
Assisted Robust Reward Design
paper | video
4:00 PM Changliu Liu Safe Autonomous Driving: Prediction, Planning, and Coordination [recording]
4:40 PM Shengbo Li Distributional Soft Actor-Critic [recording]
5:20 PM Panel [recording]
- Moderator: Dorsa Sadigh
- Members: Anca Dragan, Charlie Tang, Alyssa Pierson, Adrien Gaidon, Changliu Liu, Shengbo Li
6:00 PM Goodbye
Participate:
RSS registration: https://roboticsconference.org/attending/registration/
RSS portal: https://pheedloop.com/rss2020/virtual/ (under "Sessions" --> "WS2-1: Interaction and Decision-Making in Autonomous Driving")
Speakers
Speakers
Break Room
Break Room
Navigate using the WASD keys
Listen to a particular video by: (1) navigating very close to the video, (2) increasing volume by left-clicking "+", then (3) right-click-and-hold the video
Or to open in a new window go to: https://hubs.mozilla.com/dxzApUU/ida-workshop/
Sponsors
Sponsors
Page updated
Google Sites
Report abuse