• Explain the key components of robot architectures, including sensors, actuators, and control systems.
• Analyze kinematics and dynamics principles to understand robot motion and manipulation.

• Connect robotic systems to IoT platforms using appropriate communication protocols.
• Utilize cloud computing and edge computing for data processing and remote control of robots.

• Design automated workflows and decision-making algorithms for IoT-enabled systems.
• Implement adaptive control strategies to optimize robotic operations in IoT environments.

• Identify and evaluate robotics applications in various industries such as healthcare, agriculture, and logistics.
• Analyze the impact of robotics and automation on improving efficiency and productivity in IoT contexts.

• Design user interfaces for effective human-robot collaboration in IoT settings.
• Address safety considerations and ethical implications related to human-robot interaction.

• Collaborate with team members to develop and implement a robotics project integrated with IoT technologies.
• Demonstrate project outcomes through practical application and presentation.

• Analyze complex problems in robotics and IoT, and propose innovative solutions.
• Apply theoretical knowledge to real-world scenarios and troubleshoot technical challenges effectively.

• Present ideas, project progress, and outcomes clearly and persuasively to peers and instructors.
• Engage in constructive discussions and provide feedback on peers' work.

• Acquire practical skills through hands-on labs, programming exercises, and project development.
• Gain experience in using robotics kits, simulation environments, and IoT development platforms.

• Build a solid foundation in robotics, automation, and IoT integration for pursuing advanced studies or entering industry roles.
• Explore career paths in robotics engineering, IoT development, automation consulting, and related fields.