5 papers
Approximate Multi-Objective Search Under Rulebooks
Omar Muhammetkulyyev, Oren Salzman, Tichakorn Wongpiromsarn
Robotic planning often involves multiple objectives with complex priority relationships, such as safety, efficiency, and regulatory compliance. Rulebooks formalize these relationsh…
ScenicRules: An Autonomous Driving Benchmark with Multi-Objective Specifications and Abstract Scenarios
Kevin Kai-Chun Chang, Ekin Beyazit, Alberto Sangiovanni-Vincentelli +2
Developing autonomous driving systems for complex traffic environments requires balancing multiple objectives, such as avoiding collisions, obeying traffic rules, and making effici…
Risk-Aware Rulebooks for Multi-Objective Trajectory Evaluation under Uncertainty
Tichakorn Wongpiromsarn
We present a risk-aware formalism for evaluating system trajectories in the presence of uncertain interactions between the system and its environment. The proposed formalism suppor…
Lexicographic Multi-Objective Stochastic Shortest Path with Mixed Max-Sum Costs
Zhiquan Zhang, Omar Muhammetkulyyev, Tichakorn Wongpiromsarn +1
We study the Stochastic Shortest Path (SSP) problem for autonomous systems with mixed max-sum cost aggregations under Linear Temporal Logic constraints. Classical SSP formulations…
Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning
Weisi Fan, Jesse Lane, Qisai Liu +2
Perception components in autonomous systems are often developed and optimized independently of downstream decision-making and control components, relying on established performance…