About me

I am a passionate roboticist and AI researcher.

I am a bachelors student of mechatronics engineering at the University of São Paulo (USP) and, as part of a double degree program, I am pursuing a master’s degree at the Technical University of Munich (TUM) in mechatronics and robotics.

My previous projects and research follow mainly the field of autonomous systems, AI and Robotics. I invite you to check my Portfolio and Publications.

I recently had the opportunity to collaborate with the Carnegie Mellon University (CMU) in a research internship at the AirLab. The outcome of these six months of research was two papers published, as first and second at IEEE - ICRA 2021.

In the present day, I’m focusing on the field of Natural-language-facilitated Human-Robot-Interaction, while conducting research at the Munich Institute of Robotics and Machine Intelligence (MIRMI). in partnership with Microsoft Business AI - Science & Research.

In 2020, I became a fellow at the Fundação Estudar Leaders Program, a Merit scholarship program for students with outstanding trajectory and academic potential (24 selected out of 40,000+ applicants), and a recipient of the AUCANI merit scholarship.

Recent publications:

Reshaping Robot Trajectories Using Natural Language Commands: A Study of Multi-Modal Data Alignment Using Transformers

Arthur Bucker, Luis Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Rogerio Bonatti

Published in IROS 2022 conference | IEEE 2022 ICRA workshop on Shared Autonomy in Physical Human-Robot Interaction | IEEE 2022 ICRA workshop on Collaborative Robots and the Work of the Future | Northwest Robotics Symposium 2022

pdf

Batteries, camera, action! Learning a semantic control space for expressive robot cinematography

Rogerio Bonatti, Arthur Bucker, Sebastian Scherer, Mustafa Mukadam, Jessica Hodgins

Published in IEEE International Conference on Robotics and Automation (ICRA 2021)

pdf / video

Graph Neural Networks for Improved El Nino Forecasting

Salva Rühling Cachay, Emma Erickson, Arthur Fender C Bucker, Ernest Pokropek, Willa Potosnak, Salomey Osei, Björn Lütjens

Published in NeurIPS 2020 workshop on Tackling Climate Change with Machine Learning & EGU2021 (Proposal paper)

pdf

Experience:

MIRMI & Microsoft collaboration – Researcher
Nov 2021 – Present
Research on HRI using multimodal inputs for motion policy shaping

Carnegie Mellon University Internship – Research Intern
May 2020 – Nov 2020
Robotics Institute Summer Scholar (RISS)

Skyrats – Member
Feb 2018 – Apr 2020

Grupo Turing – Head of Project Management
Feb 2018 – Aug 2018
Grupo Turing is the AI Research group at Escola Politécnica da USP. As its objective is to study, apply and disseminate AI knowledge.

Cervejaria Ambev – Summer Intern
Jan 2018 – Mar 2018

Education:

Technical University of Munich
Master of Science - Mechatronics and Robotics
Double degree program
2020 – 2022

Escola Politécnica da USP
Bachelor’s degree Mechatronics Eng.
2017 – 2022

Colégio Santa Cruz
High School Diploma
2006 – 2016
Extracurricular self-study studies in Electronics, Computing, Neuroscience, Physics and Chemistry

Awards:

  • Spotlight contribution - IEEE 2022 ICRA workshop on Collaborative Robots and the Work of the Future
  • AUCANI merit scholarship recipient.
  • Microsoft AI for Earth Grantee
  • Fellow at Fundação Estudar Leaders program (approval rate = 0.05%)
  • Summer Exchange in China on the Seeds for the Future program (Huawei)
  • 1st place at CLAPP (Latin American Design & Prototype Competition)
  • Winning Team at Hackathon Ambev (Hack the World 2017 SP)
  • Best project award and Team leader at PACE POLI USP 2017 Competition (1st out of 200 teams)
  • A representative of the State of São Paulo at the national stages of the Brazilian Robotics Olympics (team leader 2015 & 2016)
  • Silver medal at the national stage of the Theoretical Robotics Olympics (2016)
  • Team gold medal at the “International Olympiad Mathématiques sans frontières” (2016).

LANGUAGES

  • Portuguese - Native
  • English - Fluent
  • German - Intermediate
  • French - Basic