IN-2025-B1122-KU
Location
India
Internship type
ON-SITE
Reference number
IN-2025-B1122-KU
General discipline
Computer Science / Informatics
Mechanical Engineering
Completed Years of Study
3
Fields of Study
Languages
English Excellent (C1, C2)
Required Knowledge and Experience
-
Other Requirements
-
Duration
16 - 20 Weeks
Within These Dates
21.07.2025 - 28.11.2025
Holidays
NONE
Work Environment
-
Gross pay
10000 INR / month
Working Hours
40.0 per week / 8.0 per day
Type of Accommoditation
IAESTE- LC KARUNYA
Cost of lodging
5000 INR / month
Cost of living
8000 INR / month
Additional Info
This offer is from the Department of Robotics Engineering and the intern's field of research would be Robotics Engineer, Automated Surface Cleaning.
Work description
Robotics Engineer, Automated Surface CleaningOverview:Join our team as a Robotics Engineer and play a pivotal role in the design and implementation of a cutting-edge robotic system for automated surface cleaning. This internship offers a unique opportunity to contribute to the development of a versatile cleaning robot that utilizes advanced mechanical design, control algorithms, and sensor systems.Objectives:1. Design and analyze the robot's mechanical structure to ensure efficient cleaning of diverse surfaces.2. Develop and implement control algorithms for real-time navigation, obstacle avoidance, and optimized cleaning patterns.3. Integrate sensor systems for environment sensing and data acquisition, enabling autonomous cleaning operations.Outcomes:1. In-depth understanding of robotics design principles, control algorithms, and sensor integration.2. Hands-on experience in developing and testing autonomous robotic systems.3. Exposure to the latest advancements in robotics for automated surface cleaning applications.Intern's Responsibilities:1. Conduct research and analysis on existing robotic cleaning systems and related technologies.2. Collaborate with engineers to design and implement the robot's hardware and software components.3. Participate in testing and evaluation of the robot's performance in various cleaning scenarios.
Deadline
31.07.2025