MAIMS Robotic Stageshow and Futuristic AI & Robotics Workshop

Robotic Sir AI India Private Limited organised a two-day Robotic Stageshow and futuristic technology workshop at Maharaja Agrasen Management Institute (MAIMS), Delhi, on 4–5 October. The event was designed to increase awareness of artificial intelligence and robotics while introducing students to emerging technologies, hardware-software integration, and the future direction of robotics.

The programme combined a live robotic stageshow with demonstrations of humanoid robotics, autonomous cube solving, obstacle avoidance, and multi-degree-of-freedom robotic arms. Participants explored concepts including computer vision, sensor fusion, spatial navigation, robotic manipulation, inverse kinematics, embodied AI, and the emerging relationship between advanced computing and robotics.

Key takeaway: The event demonstrated how modern robotics combines AI, sensors, mechanical systems, computer vision, and intelligent control to create increasingly autonomous machines.

Event Highlights

The two-day MAIMS event provided students with practical exposure to robotics and emerging technology through live demonstrations and a futuristic technology discussion.

• Live robotic stageshow
• Awareness session on AI and robotics
• Humanoid robot demonstration
• Autonomous cube-solving robot
• LiDAR and sensor-based obstacle avoidance
• Multi-DOF robotic arm demonstration
• Discussion of emerging computing and robotics technologies
• Practical connection between hardware and AI systems

Humanoid Robotics and Embodied AI

The humanoid robot demonstration introduced participants to embodied AI—the integration of intelligent software with physical robotic systems. Students observed how joint actuation, balance control, sensing, and programmed behaviours enable robots to interact with and operate within physical environments.

Humanoid Robot Demonstration

The live stageshow demonstrated robotic movement and physical interaction while explaining how software-driven intelligence can control mechanical systems.

• Key learning point: Embodied AI connects artificial intelligence with physical sensors, actuators, and robotic mechanisms.
• Application: Human-robot interaction, education, assistance, and future autonomous systems.
• Result: Students gained a practical understanding of how AI concepts can be translated into physical robotic behaviour.

Autonomous Robotics and Computer Vision

The autonomous cube solver demonstrated the use of computer vision and robotic manipulation to identify and interact with physical objects. The system highlighted the relationship between visual perception, decision-making, and mechanical actuation.