To develop a detailed design, solid model (for all components) of nine degrees of freedom (dof) (3-dof vehicle/mobile base + 6-dof manipulator arm) multi-purpose mobile manipulator. To develop a dynamic simulation model for the proposed mobile manipu
SRM is a permanent magnet-free motor, it uses aluminium, steel and copper as materials. SRM avoids any rare earth material usage. SRM materials are abundantly available in India, and common extracted with well optimized processes, enabling Make-In-In
Reinforcement learning (RL), is a powerful tool for control systems engineering, as it allows the agent to learn from experience and adapt to changing system dynamics. However, traditional RL methods often require a complete model of the environment,
the effect of textual data from domain experts in giving user-friendly explanations by adding it to the model training architecture. We propose a customized novel model that is completely explainable and interpretable for agriculture applications tha
Developing a design philosophy for designing structure and attached components safely while subjected to strong ground motions. It will enable the design of structure and nonstructural components with adequate seismic safety while subjected to strong
Electronic Systems (combination of hardware and software) play a very dominant role in our daily lives. Any undetected errors in the system can result in catastrophic system failures, which could either lead to significant financial losses or loss of
Static shoulder rehabilitation exercises are performed by stroke patients suffering from shoulder subluxation, which requires pushing the hand against a rigid surface by maintaining the elbow joint at a fixed position. This method can overtrain muscl
Obtaining continuous-time dynamics to study convergence analysis for distributed constrained optimization problems when the graph topology is a general weight unbalanced strongly connected digraph. Further, we would like to extend this work when the
The objective is to study the behaviours of connected and autonomous vehicles. We employ a Scaled Electric Vehicle (SEV) that mimics full-scale electric vehicle dynamics. Our primary aim is to develop algorithms for autonomous operation and validate
Network science is an emergent field of study which enables the application of AI in the study of complex systems. Networks arise in almost every domain. Complex networks adequately represent the structure and dynamics of many complex systems (biolog
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