Riccardo Feingold Email & Phone Number

Lausanne, Vaud, Switzerland

State Estimation for Outdoor Flying

Zurich, Switzerland

Setting up a Reinforcement Learning Sim2Real Pipeline for magnecko. Performing System Identification for easier policy deployment. Further development of the training environment in Isaac Gym to allow pedipulation tasks.

Zurich, Switzerland

Grade: 5.5/6 magnecko is a quadrupedal climbing robot with magnetic feet developed to inspect complex ferrous structures. Its mechanical design allows magnecko to move dynamically. However, the robot achieves only static movements with the currently implemented inverse kinematics controller. Deep Reinforcement Learning (DRL) has recently shown great.

Zurich, Switzerland

We are a team of 8 motivated engineering students at the Swiss Federal Institute of Technology (ETH) in Zürich. Our goal is to develop a highly versatile motion platform for climbing applications in industrial environments. With the capability of using various sensors or attachments, precise measurements can be made directly while climbing or while staying.

Zurich, Switzerland

Teaching Analysis III

Utzenstorf, Berne, Switzerland

In this workshop training, the fundamentals of manufacturing were acquired.

Bern, Berne, Switzerland

As a Co-Founder of BreakfastToHome, a breakfast delivery service, I gained hands-on experience in troubleshooting and problem-solving as well as learning to take responsibility. In addition to that, I acquired knowledge in Idea Generation and Selection, Team Forming and Working, SPRINT-Method, Marketing Strategies, Pitching, Prototyping, Product Design.

Ostermundigen, Berne, Switzerland

Internship at SBB AG for Telecommunication. The goal of this internship was the Assembly of a barometric altimeter with an IMU sensor, a GPS module, and an analog user interface. In addition, a program had to be developed for improving the barometric height measurement using Map-Matching and Kalman-Filtering.

Master Of Science - Ms, Mechanical Engineering

Bachelor Of Science - Bs, Mechanical Engineering

Bachelor Thesis: Training a Quadrupedal Climbing Robot in Simulation using Deep Reinforcement Learning (5.5/6)

Matura, Physik Und Anwendung Der Mathematik - Pam, 5.42/6.00