Fabian Tischhauser — accepted AI-conference papers

2026

Steerable High-Jumping Tensegrity Robot for Space Exploration (I)

Jonathan Jacob Kolt Green, Dario Bozinovski, Fabian Tischhauser, Marco Hutter, Robert Lawrence Baines

ICRA 2026poster

The growing interest in exploring other planets calls for innovative robotic systems capable of deploying to and traversing challenging space environments. While wheeled rovers have traditionally fulfilled this role, they face limitations, including configuration dependence (e.g., requiring an uprig…

Cited by 0 Scholar ↗

2024

Accurate power consumption estimation method makes walking robots energy efficient and quiet

Giorgio Valsecchi, Andrea Vicari, Fabian Tischhauser, Manolo Garabini, Marco Hutter

IROS 2024

Power consumption is a frequently over-looked aspect in robotics, especially in the context of legged robots. Nevertheless, improving the efficiency of walking robots is crucial to overcome the current limitations in runtime. This work proposes a novel method for precisely estimating actuator power

Cited by 4 Source ↗Scholar ↗

2023

Barry: A High-Payload and Agile Quadruped Robot

Giorgio Valsecchi, Nikita Rudin, Lennart Nachtigall, Konrad Mayer, Fabian Tischhauser, Marco Hutter

RA-L 2023

This letter introduces Barry, a dynamically balancing quadruped robot optimized for high payload capabilities and efficiency. It presents a new high-torque and low-inertia leg design, which includes custom-built high-efficiency actuators and transparent, sensorless transmissions. The robot's reinfor

Cited by 23 Source ↗Scholar ↗