My Projects.
Hi, my name is Aravind Amoor, and I am a versatile and experienced Mechanical Engineer excited to contribute to your company.
The following is a collection of my projects and hands-on experiences. These projects, in conjunction with my Skills and Work Experience, serve as a testament to my varied skill set and demonstrate my ability to contribute positively to any engineering effort.
If you have any further questions on any of these projects, please contact me via E-Mail or LinkedIn.
Link to my latest updated Resume
Ankle-Foot Orthosis - Actuation System
Portable actuation system for prototype ankle-foot orthosis (AFO) aiming to restore full functionality to victims of lower extremity injury and trauma.
Automated Mouse Feeder
Automated solution for restricted feeding studies made in conjunction with Rutgers Biomedical Engineering researchers.
Engineers Without Borders - Camden Community Garden Irrigation Project
Hands-on design and implementation of rainwater collection and distribution system for community gardens in low-income food deserts.
Modeling Single-DOF Exoskeleton Torque Controller
Design, implementation and experimental comparison of assistive control schemes for hip exoskeleton.
Autonomous Object Sorting using a Mobile Robot
Programmed an autonomous mobile robot to traverse a game area and sort red, green, and blue pucks into their respective zones.
All-In-One Pet Home Console
Prototype of a consumer product targeted at pet owners - feed and monitor pets hands-free and on a schedule.
Simulated Control System for Dual Mass Spring Damper Systems
Analytical study and simulated implementation of control systems for Dual Mass Spring Damper System.
Manufacturing Analysis - Naomoto High-Steam Gravity Feed Iron
Analytical study with the goal of implementing a manufacturing plan and production schedule for a consumer product - Naomoto High-Steam Gravity Iron.
Effects of Path Planning and FEA on 3D-Printed Material Properties
Experimental study on 3D-printed PLA material samples - measuring the efficiency of infill pattern optimization and Finite Element Analysis on tensile strength and dimensioning.
Featured Research and Presentations
On The Control of the BLEEX Exoskeleton
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Presented a review and analysis on Professors Kazerooni, Racine, Huang and Steger’s novel load-carrying and energetically autonomous exoskeleton. Provided walkthrough and breakdown of major systems, then identified the four fundamental technologies (Design, Control, Power and Control Signal Transfer). Delved into Control system and specifically algorithm for sensitivity function (how closely the exoskeleton mirrors human movement). Expanded on possible issues for implementation, areas of future research, and clarifying technical terms and background.
Optimal Economic Order Quantity in Single-Stage Production Systems under Supplier Uncertainty
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Reviewed the existing literature on determining optimal order quantity for single-stage production systems under supply uncertainty. Began with a definition of both uncertainty and supplier uncertainty and a short discussion about its sources. Reviewed the quantitative processes used by each of the existing studies in this field, broadly categorized into two fields - single-stage systems over a continuous single time period, and single-stage systems over multiple discrete time periods, with a focus on both the evolution of the research and modeling methods, their structural results, and what they mean for the field of research as a whole. Concluded with an analysis of the state of the present research, then offer some recommendations for possible future research.
Design, Control and Sensory Feedback of Lower-Limb Active Prosthesis
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Reviewed the state-of-the-art and current implementation in active, or powered, lower limb prostheses, and the current state of the art in three foundational aspects: Design, Control and Sensory Feedback. Delved into history and necessity of powered lower-limb solution. Introduced generalized 3-level framework for lower body prosthesis, and mapped control strategies to such. Enumerated advantages and disadvantages of each control system. Made recommendations for the continuing study of each of these topics, with care being placed to call for open communication and cooperation between researchers.
Fast Model Predictive Control Using On-Line Optimization
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Presented a review on Model Predictive Control, an advanced control strategy that uses a dynamic model of the process to predict future states. Elaborates on advantages and disadvantages of MPC control systems, and expands on a collection of methods that can speed up MPC control using Online Optimization, or computing the control offline and implementing online controller as a lookup table. Expanded on MPC methods with a focus on infinite horizon time-invariant stochastic control problems. Summarized the experimental results and provided suggestions for implementation and optimization.
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See the Skills page
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See the Work Experience page