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Sarvesh
- Rate US$11
- Response 1h

US$11/hr
1st lesson free
- Robotics
- Engineering
- Automation
PSGTechian and I am a Professor specializing in Robotics and Automation, offering structured, hands-on training in Python-controlled robotics, ROS/ROS2 and Reinforcement Learning for students and prof
- Robotics
- Engineering
- Automation
Lesson location
About Sarvesh
PSGTechian and I am a Professor in Robotics and Automation with specialized expertise in Python-driven robotic systems, ROS/ROS2 architectures, and Reinforcement Learning for intelligent control. My work is centered on bridging the gap between academic theory and real-world robotic implementation, with a strong emphasis on structured, hands-on learning.
Over the years, I have guided engineering students, research scholars, and motivated beginners in developing practical competence in autonomous systems. My sessions are designed not merely to explain concepts, but to build the ability to design, implement, debug, and refine complete robotics pipelines using industry-relevant tools and workflows.
My teaching approach is deliberate and methodical. Complex topics such as ROS communication, robot simulation, and learning-based control are broken down into clear, logical steps so that learners develop both conceptual depth and engineering confidence. I place particular importance on clean coding practices, system-level thinking, and reproducible experimentation — skills that distinguish serious robotics practitioners.
My objective is to cultivate a focused learning environment for individuals who are genuinely committed to mastering intelligent robotics. I work best with learners who are curious, disciplined, and willing to engage deeply with the material, because meaningful progress in robotics comes from consistent, guided practice.
If your goal is to move beyond surface-level exposure and build real capability in Python-powered ROS and AI robotics, these sessions are structured to support that journey with clarity and rigor.
About the lesson
- Compulsory School
- Collège
- Secondary School
- +14
levels :
Compulsory School
Collège
Secondary School
Première
Terminale
BTS
Higher Education
Adult Education
Facultate (Licență)
Master
Diplomgrad
Doctorate
Other
GDL
Qualified Lawyer Transfer Scheme
MBA
Pre-School
- English
All languages in which the lesson is available :
English
My teaching approach is strongly implementation-oriented, designed to help learners move from theoretical understanding to real robotic system development. As an Assistant Professor in Robotics and Automation, I focus on building deep conceptual clarity in Python programming, ROS/ROS2 workflows, and Reinforcement Learning, while ensuring every learner gains practical exposure through guided exercises and mini-projects.
Teaching Techniques and Methods:
I follow a structured, step-by-step methodology that combines concept explanation, live coding, simulation-based experimentation, and supervised practice. Complex robotics topics are broken down into intuitive modules so that learners can clearly understand how software, algorithms, and robot behavior are connected. Emphasis is placed on debugging skills, system thinking, and reproducible workflows used in real robotics development.
Wherever applicable, sessions include Guided live implementation, Visual demonstrations and simulations,
Incremental project building, Concept-to-code mapping, Doubt clarification in real time.
These classes are best suited for:
1.Engineering students (ECE, EEE, Mechatronics, Robotics, CSE)
2.Final-year project students
3.M.Tech and PhD scholars
4.Faculty members upgrading to ROS and AI robotics
5.Working professionals entering intelligent robotics
6.Motivated beginners with basic programming interest
Both foundational and advanced tracks can be structured depending on the learner’s background and goals.
Rates
Rate
- US$11
Pack prices
- 5h: US$53
- 10h: US$105
online
- US$11/h
free lessons
The first free lesson with Sarvesh will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hr
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