Executive Development Programme in Automotive Robotics Essentials for Engineers
-- ViewingNowThe Executive Development Programme in Automotive Robotics Essentials for Engineers is a certificate course designed to empower engineering professionals with the latest advancements in robotics technology and its application in the automotive industry. This program emphasizes the growing importance of robotics in automotive manufacturing, highlighting the industry's demand for skilled engineers capable of implementing and managing automated systems.
6,245+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
ě´ ęłźě ě ëí´
100% ě¨ëźě¸
ě´ëěë íěľ
ęłľě ę°ëĽí ě¸ěŚě
LinkedIn íëĄíě ěśę°
ěëŁęšě§ 2ę°ě
죟 2-3ěę°
ě¸ě ë ěě
ë기 ę¸°ę° ěě
ęłźě ě¸ëśěŹí
⢠Automotive Robotics Fundamentals: An introduction to the essential concepts and principles of automotive robotics, including the history, current trends, and future directions. This unit will cover the basics of robotics, automation, and control systems in the automotive industry.
⢠Robot Kinematics and Dynamics: This unit will delve into the mathematical models and principles that underpin the movement and behavior of robotic systems in the automotive industry. Topics covered will include forward and inverse kinematics, dynamics, and control theory.
⢠Sensors and Perception in Automotive Robotics: An exploration of the various sensors and perception systems used in automotive robotics, including cameras, lidar, radar, and ultrasonic sensors. This unit will cover the principles of sensor fusion, object detection and tracking, and decision-making in complex environments.
⢠Automotive Manufacturing and Assembly: An examination of the role of robotics in automotive manufacturing and assembly, including the design and optimization of production lines, quality control, and maintenance. This unit will cover the latest manufacturing technologies such as additive manufacturing, modular assembly, and Industry 4.0.
⢠Machine Learning and Artificial Intelligence: This unit will cover the application of machine learning and artificial intelligence techniques in automotive robotics, including supervised and unsupervised learning, deep learning, and reinforcement learning. Topics will include predictive maintenance, autonomous driving, and human-robot collaboration.
⢠Robot Safety and Compliance: An overview of the safety standards and regulations that govern the use of robotics in the automotive industry. This unit will cover the latest safety technologies such as collision detection, emergency stops, and safe human-robot interaction.
⢠Ethics and Social Implications of Automotive Robotics: A discussion of the ethical and social implications of automotive robotics, including the impact on employment, privacy, and safety. This unit will cover the latest ethical frameworks and guidelines for the responsible development and deployment of robotics in the automotive industry.
ę˛˝ë Ľ 경ëĄ
ě í ěęą´
- 죟ě ě ëí 기본 ě´í´
- ěě´ ě¸ě´ ëĽěë
- ěť´í¨í° ë° ě¸í°ëˇ ě ꡟ
- 기본 ěť´í¨í° 기ě
- ęłźě ěëŁě ëí íě
ěŹě ęłľě ěę˛Šě´ íěíě§ ěěľëë¤. ě ꡟěąě ěí´ ě¤ęłë ęłźě .
ęłźě ěí
ě´ ęłźě ě ę˛˝ë Ľ ę°ë°ě ěí ě¤ěŠě ě¸ ě§ěęłź 기ě ě ě ęłľíŠëë¤. ꡸ę˛ě:
- ě¸ě ë°ě 기ę´ě ěí´ ě¸ěŚëě§ ěě
- ęśíě´ ěë 기ę´ě ěí´ ęˇě ëě§ ěě
- ęłľě ě겊ě ëł´ěě
ęłźě ě ěąęłľě ěźëĄ ěëŁí늴 ěëŁ ě¸ěŚě뼟 ë°ę˛ ëŠëë¤.
ě ěŹëë¤ě´ ę˛˝ë Ľě ěí´ ě°ëŚŹëĽź ě ííëę°
댏롰 ëĄëŠ ě¤...
ě죟 돝ë ě§ëŹ¸
ě˝ě¤ ěę°ëŁ
- 죟 3-4ěę°
- 쥰기 ě¸ěŚě ë°°ěĄ
- ę°ë°Ší ëąëĄ - ě¸ě ë ě§ ěě
- 죟 2-3ěę°
- ě 기 ě¸ěŚě ë°°ěĄ
- ę°ë°Ší ëąëĄ - ě¸ě ë ě§ ěě
- ě 체 ě˝ě¤ ě ꡟ
- ëě§í¸ ě¸ěŚě
- ě˝ě¤ ěëŁ
ęłźě ě ëł´ ë°ę¸°
íěŹëĄ ě§ëś
ě´ ęłźě ě ëšěŠě ě§ëśí기 ěí´ íěŹëĽź ěí ě˛ęľŹě뼟 ěě˛íě¸ě.
ě˛ęľŹěëĄ ę˛°ě ę˛˝ë Ľ ě¸ěŚě íë
