Revision as of 18:24, 18 February 2018

A-B) The PULP-Shield PCB developed at IIS by our student Hanna Mueller. C) Our prototype based on the Crazyflie 2.0 nano-UAV coupled with the PULP-Shield.

Topic

Nano-size Quadrotor

Nano-size Blimp

Contact Information

Daniele Palossi

Daniele Palossi

• e-mail: dpalossi@iis.ee.ethz.ch
• phone: +41 44 633 88 43
• address: Gloriastrasse 35, 8092 Zürich
• office: ETZ J76.2

Collaborations

We are pleased to inform our students that we have the opportunity to offer co-supervised Master/Semester Thesis on the Autonomous UAVs topic in collaborations with other top-quality research groups like:

• TIK: The Computer Engineering and Networks Laboratory - ETH Zürich - Web Site
• RPG: Robotic and Perception Group - University of Zürich - Web Site
• MICREL: Microelectronics Laboratory - University of Bologna - Web Site

Projects

Available Projects

• Event-based navigation on autonomous nano-drones
• A Novel Execution Scheme for Ultra-tiny CNNs Aboard Nano-UAVs
• Improved Collision Avoidance for Nano-drones
• Deep Learning-based Global Local Planner for Autonomous Nano-drones
• Monocular Vision-based Object Following on Nano-size Robotic Blimp
• A Waypoint-based Navigation System for Nano-Size UAVs in GPS-denied Environments
• Covariant Feature Detector on Parallel Ultra Low Power Architecture

Projects In Progress

Completed Projects

• Improved State Estimation on PULP-based Nano-UAVs
• Towards Self-Sustainable Unmanned Aerial Vehicles
• Study and Development of Intelligent Capability for Small-Size UAVs
• Towards Autonomous Navigation for Nano-Blimps
• PULP-Shield for Autonomous UAV
• Self-Learning Drones based on Neural Networks

Publications

The group effort and the great contribution from the students of last few years has resulted in the following list of publications:

• 2018 - D. Palossi et Al., "Extending the Lifetime of Nano-Blimps via Dynamic Motor Control", Springer Journal of Signal Processing Systems (Springer JSPS) - Accepted

• 2017 - D. Palossi et Al., "Target Following on Nano-Scale Unmanned Aerial Vehicles", 7th IEEE International Workshop on Advances in Sensors and Interfaces, June 15-16, Vieste, Italy, 2017 - On-line

• 2017 - B. Forsberg et Al., "GPU-Accelerated Real-Time Path Planning and the Predictable Execution Model", International Conference on Computational Science (ICCS), June 12-14, Zürich, Switzerland, 2017 - On-line

• 2017 - D. Palossi et Al., "On the Accuracy of Near-Optimal CPU-Based Path Planning for UAVs", 20th International Workshop on Software and Compilers for Embedded Systems (SCOPES), June 12-13, Sankt Goar, Germany, 2017 - On-line

• 2017 - D. Palossi et Al., "Self-sustainability in Nano Unmanned Aerial Vehicles: A Blimp Case Study", Computing Frontiers (CF), May 15-17, Siena, Italy, 2017 - On-line

• 2017 - D. Palossi et Al., "Ultra Low-Power Visual Odometry for Nano-Scale Unmanned Aerial Vehicles", Design, Automation and Test in Europe (DATE), March 27-31, Lausanne, Switzerland, 2017 - On-line

• 2016 - D. Palossi et Al., "Exploring Single Source Shortest Path Parallelization on Shared Memory Accelerator", 19th International Workshop on Software and Compilers for Embedded Systems (SCOPES), May 23-25, Sankt Goar, Germany, 2016 - On-line

• 2016 - D. Palossi et Al., "An Energy-Efficient Parallel Algorithm for Real-Time Near-Optimal UAV Path Planning", 2nd Workshop on Design of Low Power Embedded Systems (LP-EMS), May 16-18, Como, Italy, 2016 - On-line

• 2016 - F. Conti et Al., "Enabling the Heterogeneous Accelerator Model on Ultra-Low Power Microcontroller Platforms", Design, Automation and Test in Europe (DATE), March 14-18, Dresden, Germany, 2016 - On-line