Lola

Name: Lola
Rating: 3.7 (1715 reviews)

A humanoid bipedal robot with exposed electronics and a head consisting of two stacked rectangles with cameras and sensors. — Lola is ready for a walk. Photo: Technical University of Munich

Lola is an advanced humanoid robot used in research on legged locomotion. It is a versatile, robust platform designed to demonstrate fast bipedal walking. The robot is mainly funded by the German Research Foundation (DFG).

Creator

Technical University Munich (TUM)

Year

2010

Country

Germany 🇩🇪

Categories

Features

A spinning view of a humanoid bipedal robot with exposed electronics and a head consisting of two stacked rectangles with cameras and sensors. — See a 360° view of Lola. Photos: Technical University of Munich

More interactives

Did you know?

Lola is named after the German experimental thriller film "Run Lola Run."

Three views of a humanoid robot show it in simulation, prototype and final robot. — From simulation to real robot. Photo: Technical University of Munich

Lola demonstrates its walking abilities. Video: Technical University of Munich

Specs

Overview: Full-sized humanoid with lightweight design. Robust to unexpected uneven and soft terrain. Can use hands for additional support.
Status: Ongoing
Year: 2010
Website: mec.ed.tum.de/en/am/research/current-projects/robotics/humanoid-robot-lola
Width: 65 cm
Height: 176 cm
Length: 43 cm
Weight: 68 kg
Speed: 3.38 km/h
Sensors: Torso with iMAR iVRU-FC-C167 IMU. Feet with custom force-torque sensor. Hands with Schunk FTE-Axia80 force-torque sensor. Head with Intel RealSense T265 and D435 cameras. Joints with incremental (motor side) and absolute (link side) encoders.
Actuators: Custom design with brushless DC motors and harmonic drive gears. Parallel kinematics in legs. Up to 380 Nm torque (knee joint with roller screw mechanism).
Degrees of Freedom (DoF): 26 (Head: 2 DoF; Arm: 4 DoF x 2; Pelvis: 2 DoF; Leg: 7 DoF x 2)
Materials: Aluminum, 3D printed titanium, stainless steel.
Compute: Two mini-ITX industrial boards each with Intel Core i7-8700 (6x3.2 GHz) CPU and 32 GB DDR4 RAM; Nvidia Quadro P2000 GPU; ELMO servo controllers for each joint; EtherCAT communication bus.
Software: QNX Neutrino RTOS 7.0 for control; Ubuntu 20.04 for computer vision; broccoli (https://gitlab.lrz.de/AM/broccoli).
Power: 24-V and 80-V circuit (external supply)