AI-Driven Robotics & Smart Machines

Build AI-Driven Robotics & Smart Machines solutions to tackle real-world problems!

Autonomous Indoor Delivery Robot

Problem: Design and develop a robot capable of navigating autonomously inside buildings (e.g., offices or hospitals) to deliver items using obstacle avoidance and path planning.

Focus Areas: SLAM (Simultaneous Localization and Mapping), LiDAR/ultrasound sensors, path planning, ROS

AI-Powered Robotic Arm for Pick and Place

Problem: Build a robotic arm that uses computer vision to recognize, locate, and sort objects based on color, shape, or size.

Focus: Image processing, inverse kinematics, CNN, servo/motor control

Voice-Controlled Assistive Robot for Elderly

Problem: Develop a mobile assistive robot that responds to voice commands, reminds medication schedules, and monitors health metrics.

Focus: NLP, speech-to-text, mobility control, health sensors integration

Smart Agricultural Robot for Precision Farming

Problem: Create a robot capable of identifying weeds, assessing plant health, and performing actions like watering or pesticide spraying.

Focus: Computer vision, object detection (YOLO), embedded control

AI-Enabled Surveillance Drone

Problem: Design a drone system capable of autonomous patrolling and detecting suspicious activity using onboard AI.

Focus: Drone control, object tracking, edge AI (Jetson Nano), GPS

Self-Balancing Delivery Robot

Problem: Build a two-wheeled robot that maintains balance using gyroscopic sensors and delivers packages in a structured indoor environment.

Focus: PID control, IMU (MPU6050), navigation, payload management

Human-Following Robot for Logistic Support

Problem: Develop a mobile robot that follows a designated human in a dynamic environment to carry loads or equipment.

Focus: Person tracking using vision, ultrasonic following, ML-based behavior prediction

AI-Based Robotic Bartender

Problem: Create a robotic system that takes drink orders via voice or touchscreen and prepares drinks by selecting and mixing ingredients.

Focus: Speech recognition, robotic arm coordination, process automation

Smart Robotic Vacuum with Room Mapping

Problem: Build an AI-based vacuum robot that maps a room, optimizes cleaning paths, and avoids obstacles intelligently.

Focus: SLAM, real-time decision-making, sensors integration (IR, bumpers)

AI-Driven Robotic Sorting System for Recycling

Problem: Design a smart robotic system to identify and sort waste materials (metal, plastic, paper) on a conveyor belt using vision.

Focus: Real-time image classification, robotic actuator control, edge computing