Hardware Parameters: ? Full bipedal humanoid (head, torso, two arms, two legs) for Education. ? Degrees of Freedom: Minimum: ≥ 23 DOF, Preferred: ≥ 40 DOF (with hands and waist 
articulation). ? Actuation: Electric actuators (servo or PMSM motors) with: High torque density, Low 
inertia, and Integrated joint sensing (position + velocity). ? Joint Features: Dual encoders or equivalent high-precision sensing, Backdrivable or 
compliant control capability. ? Range of Motion: Human-like joint limits (hip, knee, shoulder, elbow, waist). ? Payload: Arms capable of handling ≥ 2–3 kg. ? Physical Specifications: Height: Approx. 1.2 – 1.4 meters, Weight: ≤ 40 kg, Form 
Factor: Compact and portable (preferably foldable or modular), Material: Lightweight 
structural frame (e.g., aluminum alloy or composite). ? Mobility & Locomotion: Stable bipedal walking on flat surfaces. Ability to: Maintain 
balance under disturbances, Perform turning, stopping, and recovery motions, Support 
for: Dynamic locomotion (walking speed ≥ 1 m/s preferred), Experimental locomotion 
control (ZMP, MPC, RL). ? Manipulation Capabilities: Arms: Minimum 5–7 DOF per arm, End Effectors: Multi
fingered grippers or dexterous hands (preferred), Control Modes: Position, velocity, and 
torque control, Force or impedance control (preferred). ? Sensing & Perception: Vision System: Depth camera (e.g., stereo or structured light), 3D 
Perception: LiDAR or equivalent 3D scanning sensor (preferred), IMU: Full-body 
inertial measurement unit, Joint Sensors: Position and velocity sensing (mandatory), 
Optional: Microphones and speakers (for HRI), Tactile sensing in hands. ? Onboard Computing: High-performance CPU and/or GPU (e.g., NVIDIA Jetson
class or equivalent). 
Robot Accessories: ? Battery Type: Rechargeable lithium battery, Sufficient for ≥ 1.5–2 hours operation, 
Quick-swap battery system, External charging unit. ? Wireless connectivity (Wi-Fi and/or Ethernet) ? External interfaces: USB / Ethernet / CAN / serial interfaces ? Support for remote teleoperation and monitoring 
Software Support: ? ROS / ROS2 compatibility (mandatory). ? SDK for low-level and high-level control. ? Real-time control API. ? Simulation integration (Gazebo / Isaac / equivalent). ? Full documentation and API access ? Support for: Python / C++ programming, Simulation environments ? Optional: Reinforcement learning support, Cloud or edge AI integration. ? Example applications: Locomotion control, Manipulation tasks, AI-based perception.