The Chroma group at Inria Grenoble, France ( https://team.inria.fr/chroma/ ) has a funded PhD position in automous vehicle navigation.
The funding project involves Inria (https://www.inria.fr/en/) and the Valeo Company (http://www.valeo.com/en/the-group/). Its goal is to propose a novel approach for solving the problem of navigation of fully autonomous vehicles in urban environments.
The Chroma group and the PhD student involved in this project will focus on integrating models of human drivers (pedestrian and/or drivers), proxemics (human management of space) and traffic rules to integrate an autonomous vehicle in a flow of cars.
The overall objective of Chroma team is to address fundamental and open issues that lie at the intersection of the emerging research fields called “Human Centered Robotics » and “Multi-Robot Systems (MRS) ». Our goal is to design algorithms and develop models allowing mobile robots to navigate and operate in dynamic and human-populated environments. Chroma is involved in all decision aspects pertaining to (multi)robot navigation tasks, including perception and motion-planning. Our approach for addressing this challenge is to bring together probabilistic methods, planning techniques and multi-agent decision models. This is done in cooperation with other disciplines such as psycho-sociologists for the purpose of taking into account human models. Two main research themes of robotic navigation are addressed : i) Perception and situation awareness in human-populated environment, by focusing on bayesian perception and sensor fusion ii) Scaling-up single and multi-robot motion-planning, by combining uncertainty modeling, decentralized (swarm) models and multi-agent sequential decision making. The Chroma team is also concerned with applications and transfer of the scientific results. We work with industrial and start-up partners. Our main application domains concern autonomous vehicle driving (with Renault and Toyota), aerial robots for surveillance tasks and services robotics.
How to apply
The ideal candidate has a strong background in planning, control and robotics. The candidate must be a proficient user of C/C++ and ROS and any relevant computer vision library (e.g., ViSP, OpenCV, PCL). Scientific curiosity, large autonomy and ability to work independently are also expected.
Interested candidates must send to Anne Spalanzani ( firstname.lastname@example.org ) the following material:
– a motivation letter with any relevant information for proving a good match with the description of the activities and expected profile of the candidates
– a detailed CV
– name of at least two referees
– results in M1 and M2
Keywords : Robotics, Autonomous vehicle, planning, risk analysis, human-robot interaction