Automated Lane Change via Adaptive Interactive MPC: Human-in-the-Loop Experiments
This article presents a new optimal control-based interactive motion planning algorithm for
an autonomous vehicle interacting with a human-driven vehicle. The ego vehicle solves a …
an autonomous vehicle interacting with a human-driven vehicle. The ego vehicle solves a …
Competition-Aware Decision-Making Approach for Mobile Robots in Racing Scenarios
This paper presents a game-theoretic strategy for racing, where the autonomous ego agent
seeks to block a racing opponent that aims to overtake the ego agent. After a library of …
seeks to block a racing opponent that aims to overtake the ego agent. After a library of …
Multi-agent Control of Chaser Satellites using Games with Lexicographic Preferences
View Video Presentation: https://doi. org/10.2514/6.2023-2675. vid Multi-player games with
lexicographic cost functions can capture a wide variety of scenarios where agents have …
lexicographic cost functions can capture a wide variety of scenarios where agents have …
Interactive Motion Planning for Autonomous Vehicles via Adaptive Interactive MPC
This article presents a new optimal control-based interactive motion planning algorithm for
an autonomous vehicle interacting with a human-driven vehicle. The ego vehicle solves a …
an autonomous vehicle interacting with a human-driven vehicle. The ego vehicle solves a …
Bridging the Gap between Discrete Agent Strategies in Game Theory and Continuous Motion Planning in Dynamic Environments
Generating competitive strategies and performing continuous motion planning
simultaneously in an adversarial setting is a challenging problem. In addition, understanding …
simultaneously in an adversarial setting is a challenging problem. In addition, understanding …