Robotics, Automation and Autonomy

Robotics, Automation and Autonomy research is focused on fundamental, enabling science and engineering techniques related to robotics. Topics range from kinematics and mechanisms, dynamics and control, and intelligent materials to artificial intelligence. Areas of practical application of robotics and automation include macroscale/microscale manufacturing, mobile robots, assistive and prosthetic devices, soft robots, legged robotic systems, and unmanned aerial vehicles.

Research topics under this area include:

  1. Kinematics and dynamics of multi-body systems (HereidSistonM. SrinivasanSuTulpule) develops numerical methods and mathematical framework for kinematic analysis and dynamic simulations of complex articulated multi-body systems including but not limited to industrial serial and parallel manipulators, precision machinery, flexible continuum robots, human walking, biped and quadruped robots.
  2. Design of novel robotic systems (HoelzleMenqSistonM. SrinivasanSuZhao) focuses on practical hardware implementation of new robotic systems including variable stiffness compliant mechanisms for human-safe corobots, transformable wheels for mobile robots, programmable soft robots, continuum robots, high precision nanopositioners, assistive devices, prostheses and exoskeletons, solar-powered unmanned aerial vehicles and networked UAV systems.
  3. System Optimization and control (DaiHereidHoelzleKumarMenqM. SrinivasanTulpule) creates numerical algorithms for modern optimization and control framework that integrates kinematic and dynamics simulation into algorithm objective functions. This includes the synthesis and design of optimal multi-body systems, motion plans of multi-body systems, or provably stable and robust control of the energetics and/or motions of multi-body systems.
  4. Autonomy (Aksun GuvencDaiGregoryGuvencHereidHoelzleKumarM. SrinivasanTulpule) focuses on intelligent machines that operate robustly under a variety of operating conditions with considerable uncertainties and without explicit human supervision, being perhaps capable of autonomously improving performance over time through learning and adaptation to the environment, potentially using modern AI and machine learning techniques.

 

Labs and centers

Graduate Courses

  • ME 5030: Intermediate Dynamics

  • ME 5339: Simulation Techniques for Control System Analysis and Design 

  • ME 5372: Design and Control of Mechatronic Systems

  • ME 5374: Smart Materials and Intelligent Systems        

  • ME/ECE 5463: Introduction to Real Time Robotics Systems       

  • ME 5700: Introduction to Musculoskeletal Biomechanics

  • ME 5751: Design and Manufacturing of Compliant Mechanisms and Robots

  • ME 6700: Musculoskeletal Biomemechanics

  • ME 7230: Advanced Dynamics

  • ME 7290: Digital Control Engineering

  • ME 7384: Energy Modeling, Simulation, Optimization and Control of Advanced Vehicles

  • ME 7385: Dynamics and Control of Human and Animal Movement

  • ME 7751: Advanced Kinematics and Mechanisms

  • ME 7752: Mechanics and Control of Robots

  • ME 8220: Continuous Time Optimal Control

  • ME 8230: Nonlinear Dynamics

  • ME 8322: Vehicle System Dynamics and Control

  • ME 8352: Robust Control of Mechatronic Systems

  • AAE 7720: Advanced Stability and Control of Flight Vehicles

  • AAE 8820: Robust Multivariable Control with Applications

Graduate Courses in Other Departments

  • ECE 5300: Introduction to Machine Learning for ECE
  • ECE 5759: Optimization for Static and Dynamic Systems
  • ECE 7850: Hybrid Dynamical Systems: Theory and Applications
  • ECE 7854: Nonlinear and Adaptive Control
  • ECE 7858: Intelligent Control
  • ECE 7866: Computer Vision
  • ECE 7868: Pattern Recognition and Machine Learning
  • CSE 5523: Machine Learning and Statistical Pattern Recognition
  • CSE 5524: Computer Vision for Human-Computer Interaction
  • CSE 5539: Intermediate Studies in Artificial Intelligence
  • CSE 6539: Advanced Studies in Artificial Intelligence

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