
Overview
LOLA v1.1 is an upgraded humanoid robot designed for dynamic multi-contact locomotion, featuring enhancements in hardware and software that enable improved robotic movement and adaptability in complex environments. It has been developed by a team of researchers from the Munich Institute of Robotics and Machine Intelligence.
Specifications
Category: Research- Payload
- 150 kg
- Reach
- 2,500 mm
- Speed
- 0.94 m/s
- Weight
- 68 kg
- Battery
- 8 h
- Launch year
- 2021
- Price
- Contact for quote
- Status
- active
Detailed specifications
Motion & kinematics4
- Dof
- 26
- Dof Total
- 26
- Dof Per Arm
- 4
- Repeatability Mm
- 0.05
Sensors1
- Sensor Suite
- six-axis force-torque sensors,accelerometer,ring laser gyroscope,vision sensors
Compute1
- Onboard 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.
Other26
- Height Mm
- 1760
- Applications
- research
- Sub Category
- lidar-nav AMR
- Auto Charging
- true
- Datasheet Url
- Preview PDF online
- Max Speed M S
- 0.94
- Fleet Software
- Autonomous Solutions Fleet Manager
- Force Limiting
- true
- Max Fleet Size
- 50
- Company Country
- DE
- Lead Time Weeks
- 6
- Navigation Type
- Autonomous navigation in unknown environments with obstacle avoidance and step planning; dynamic multi-contact locomotion.
- Deployment Notes
- Research humanoid platform developed at Technische Universität München for dynamic multi-contact locomotion; intended for fast bipedal walking with additional hand/environment support and ongoing upgrades to hardware and software.
- Setup Time Hours
- 8
- Walking Speed Ms
- 0.943
- Youtube Video Id
- T0CiZQbd9H0
- Compatible Vision
- Yes; integrated perception/computer-vision and environment modeling are described, including RGB-D sensing, 3D reconstruction, object detection/tracking, and vision-based navigation.
- Industries Served
- education,research
- Software Platform
- QNX Neutrino RTOS 7.0 for control; Ubuntu 20.04 for computer vision; broccoli middleware.
- Training Required
- intermediate_1-5days
- Availability Status
- ongoing
- Compatible Grippers
- Robotiq 2F-85,OnRobot RG2
- Countries Available
- Germany
- Extras Contact Emails
- info@tum.de
- Additional Information
- The robot features 26 electrically actuated joints driven by brushless DC motors.,Equipped with custom six-axis force-torque sensors in both feet and hands.,Vision sensors in the head provide a 3D representation of the environment.,Software includes a hierarchical control framework and a C++ library called 'broccoli'.,Research focuses on dynamic multi-contact locomotion, adaptive walking, and bipedal walking on uneven terrain.
- Deployment Environment
- both
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