Group Frazzoli

Open Opportunities

Strategic Interactions of Future Mobility Systems ETH Zurich Group Frazzoli Mobility is typically self-optimized for a particular region (e.g., urban areas, agglomerations, rural areas) to accommodate internal travel needs. However, as soon as one considers multiple, interacting regions (e.g., urban areas interacting with agglomerations, and agglomerations interacting with rural areas), important coordination issues occur, including scheduling mismatches, fleet allocations, and congestion peaks. In short, a mobility system composed of self-optimized mobility systems seems to often operate suboptimally. In this project, we will investigate the idea of strategic interactions of future mobility stakeholders across heterogeneous regions, such as urban areas, agglomerations, and rural areas, leveraging techniques from network design, optimization, game theory, and policy making. Specific questions of interest include how can different, self-optimized mobility systems interact? In particular, to what extent is overall coordination required? Is it necessary to redesign existing systems, or can the desired changes be accomplished through regulations or incentives? What are the interactions between clocked traffic and on-demand solutions? In what circumstances are a few large interface hubs considered optimal? And conversely, what about small and decentralized ones? What are efforts can be employed to guide specific individuals toward the adoption of public transit when required? Automotive Engineering, Mechanical and Industrial Engineering, Transport Engineering Master Thesis, Semester Project

Learning to Race via mixed reality coaching on an autonomous racing robot ETH Zurich Group Frazzoli Integration of mixed reality headset with an autonomous racing vehicle and design of coaching algorithms to teach non expert users how to safely drive fast and race Computer Vision, Intelligent Robotics, Robotics and Mechatronics, Virtual Reality and Related Simulation Master Thesis, Semester Project

Learning fast reflexes for emergency maneuvers and collision avoidance ETH Zurich Group Frazzoli Enhance the pre-computed evasive maneuvers by learning an offline map that associates raw sensor reading to a set of evasive trajectory Intelligent Robotics, Knowledge Representation and Machine Learning, Robotics and Mechatronics Master Thesis, Semester Project

Planning and control of autonomous vehicles using NERF representations ETH Zurich Group Frazzoli Leverage the NeRF representation to enable safe motion planning of autonomous robot systems through complex and challenging environments. Computer Vision, Intelligent Robotics, Knowledge Representation and Machine Learning, Robotics and Mechatronics Master Thesis, Semester Project

Life long learning control for autonomous vehicles ETH Zurich Group Frazzoli Design tuning, calibration, and learning as a continuous processes happening during the whole lifetime of the robot. Define a strategy to share information learned by each vehicle with the rest of the fleet. Intelligent Robotics, Knowledge Representation and Machine Learning, Robotics and Mechatronics Master Thesis, Semester Project

Autonomous Robots teleoperation via Mixed and Virtual Reality ETH Zurich Group Frazzoli Visualize and Control the state of an autonomous robot and of a fleet of autonomous robots through virtual and mixed reality headset Computer Vision, Intelligent Robotics, Robotics and Mechatronics Master Thesis, Semester Project

Context-Aware In-Car Recommender System: Predicting UI Interactions (User Needs) with Driving Context ETH Zurich Group Frazzoli The master thesis aims to develop a recommender system that recognizes user-specific operating patterns for classified display & control sequences on a large naturalistic driving data set of vehicle bus information and suggests car functions context-sensitive to the user. The exact structure of the thesis will be defined with the thesis student and the supervisor. Computer-Human Interaction, Knowledge Representation and Machine Learning, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition, Signal Processing, Simulation and Modelling Master Thesis