The fifth phase of the engineering design process is to experiment. Don Higdon explains that students should select one variable to test. The important thing is that the students do the experiments, measure, record and ask how to improve their design.
The fourth phase of the engineering design process is to create. Don Higdon says to emphasize teamwork and follow the plan.
The third phase of the engineering design process is to plan. Students should pick one promising idea and then develop a plan. Don Higdon explains how sketching is the best way to decide how to build a design.
The second phase of the engineering design process is to imagine. Students should brainstorm to come up with a wide range of ideas or solutions to their problem. Don Higdon models how to work through this phase.
The first step of the engineering design process is to ask. Engineers must define the problem and understand what to work on. Don Higdon explains how to guide students through an activity to explore this first step.
Don Higdon explains why NASA needs engineers and discusses the purpose of the engineering design process video series created for NASA BEST. He lists the steps in the Boston Museum of Science engineering design process — ask, imagine, plan, create, experiment and improve. He concludes by showing a simple hands-on experiment for students.
Is there anyway we can prepare to face the unknown? Can we develop robots that are fluid in function? Shai Revzen is an Assistant Professor of Electrical Engineering, Ecologyand Evolutionary Biology, and Robotics at the University of Michigan. He’s been a video game programmer, an experimental biologist, and Chief Architect in a Silicon Valley tech company. He has co-founded a biomedical start-up, authored several patents, and published academically in robotics, biology, and applied mathematics.
Prof. Shai Revzen research focuses on the role of mechanical dynamics in the control of animal and robot motion. After reverse engineering whole-system properties of a given animal, he creates robotic devices and biomimetic design methods that embody some of the desirable features observed in the animal.
Prof. Olson’s research includes finding ways for robots to sense and understand their environment while coping with uncertainty and ambiguity. The perception problem is central to a variety of practical applications, from indoor robots that can lead tours or deliver mail to autonomous cars that can navigate urban environments. His work includes both fundamental algorithm research (optimization, state estimation, classification) and system building.
Prof. Grizzle talks about his latest project, the robot MABEL, and hints at MABEL’s successor, ATRIAS. MABEL is the fastest running bipedal robot, thanks to unbeatable algorithms developed by his group. Prof. Grizzle specializes in feedback control.
Will advances in artificial intelligence bring us closer to having robots in our homes? A Michigan Engineering expert weighs in on the goals and outlook for research in making robots that think like humans. The idea of artificial intelligence is rooted in creating a mind that has the same flexibilities and capabilities of a human mind — or even more. Although research has been advanced in a variety of areas of human intelligence, such as voice and face recognition, the next question will be how to integrate the separate aspects into a fully capable brain, says U-M professor Satinder…
Prof. Edwin Olson’s APRIL Lab introduces the MAEBots: a small, smart, and low-cost platform for multi autonomous robotics research that has been open sourced for researchers everywhere.
Bipedal Robot MABEL Walks over Randomly Varying Ground: Experiment No. 1 Challenge: Traverse an irregular surface without prior knowledge of ground profile. Comments: We used a single feedback control, with a virtual compliant term in the stance knee. Switching control is not employed here. This was our initial attempt over random ground. The robot fell at the end of the experiment. We understand why it fell and will be back with more results soon.
Testing done on Saturday November 23, 2013 at 8 AM in front of the EECS Building on the University of Michigan North Campus. The temperature was -2 C (about 29 F). MARLO is an underactuated 3D bipedal robot with passive prosthetic feet. Its feedback control is designed using virtual constraints. In previous experiments, MARLO was attached to a boom. but with improved control, the robot can now walk without any external support. A mobile gantry supports a safety cable to catch the robot when it falls, avoiding expensive and time-consuming repairs. The robot is one of 3 ATRIAS-series robots designed…
BTN LiveBiG was filming MARLO the day we began testing a new method for controller design. The controller is based on virtual constraints and hybrid zero dynamics (HZD). Here we are testing a new method for designing virtual constraints based on bilinear matrix inequality (BMI) optimization. MARLO is a 3D robot designed to study principles of dynamic walking. Unlike most other 3D walking robots, MARLO does not have large feet with powered ankles. This forces the robot to balance dynamically, but may lead to more natural and more energetically efficient walking. MARLO is one of three ATRIAS…
U-M engineers are analyzing the reflexes of cockroaches to aid in developing steadier robots. Professor Shai Revzen is recording the reaction of running cockroaches being shoved sideways, discovering that their body kicks in before their dawdling nervous system can tell it what to do. These new insights on how biological systems stabilize could one day help engineers design steadier robots and improve doctors’ understanding of human gait abnormalities.
What happens when you send a rolling robot out for a mission, and it turns out they need legs instead? That happens more often than you might think, and to combat that Michigan Engineers are working on creating “self-assembling” robots that can build themselves into any form required. U-M Assistant Professor Shai Revzen and his team at the Biologically Inspired Robotics and Dynamical Systems (BIRDS) Lab are working on a variety of innovative solutions to create mechanical and robotic tools for challenging situations. In addition to self-assembling technologies, the team hopes to identify, model and reproduce the strategies animals…
Distinguished University Professorship 2015 Lecture Series presented by Elmer G. Gilbert; Distinguished University Professor of Engineering, Jerry W. and Carol L. Levin; Professor of Engineering and the College of Engineering at the University of Michigan The fields of control and robotics are working hand-in-hand to development bipedal machines that can realize walking motions with the stability and agility of a human being. Dynamic models for bipeds are hybrid nonlinear systems, meaning they contain both continuous and discrete elements, with switching events that are spatially driven by changes in ground contact. This talk will show how nonlinear control methods are…
A fleet of autonomous “Smart Carts” – high-tech, 3D printed, low-speed electric vehicles – could one day zip around the University of Michigan North Campus, taking students, professors and staff to class, labs and offices while also serving as one of the first test beds for on-demand autonomous transit. In an early step toward that goal, U-M researchers received a custom, 3D-printed vehicle from technology company Local Motors. Over the next year, Edwin Olson, an associate professor of Electrical Engineering and Computer Science who leads the project and his team of U-M researchers will develop autonomy capabilities and build…
The Vulcan robotic wheelchair is capable of traveling quickly in addition to navigating and learning its environment.