Agile ONE is a bipedal industrial humanoid robot by Agile Robots SE (Munich, Germany), designed for manufacturing and logistics. Features the world's most dexterous five-fingered robotic hands (21 joints per hand, force-torque sensors at every joint). Powered by Agile Robots' layered Robotic Foundation Models. Height 174cm, weight ~69kg, 40 DoF, payload ~20kg.
Primary use case: Industrial manufacturing and logistics: material handling, machine tending, fine assembly
Height
174 cm
Weight
69 kg
DOF
71
Payload
20 kg
Height
174 cm
Weight
69 kg
Degrees of Freedom
71
Locomotion
bipedal
Hand Type
test
Payload
20 kg
Max Lift/Arm
3 kg
Autonomy Level
semi-autonomous
Availability
pre-production
Primary Use Case
Industrial manufacturing and logistics: material handling, machine tending, fine assembly
Achieving agile and generalized legged locomotion across terrains requires tight integration of perception and control, especially under occlusions and sparse footholds. Existing methods have demonstrated agility on parkour courses but often rely on end-to-end sensorimotor models with limited generalization and interpretability. By contrast, methods targeting generalized locomotion typically exhibit limited agility and struggle with visual occlusions. We introduce a unified reinforcement learning (RL) framework for agile and generalized locomotion that incorporates a novel attention-based map encoder in the control policy. This encoder extracts local and global mapping features and uses attention mechanisms to focus on salient regions, producing an interpretable and generalized embedding for RL-based control. We further propose a learning-based mapping pipeline that provides fast, uncertainty-aware terrain representations robust to noise and occlusions, serving as policy inputs. It use
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