Daniel Morton Email & Phone Number
Who is Daniel Morton? Overview
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Daniel Morton is listed as Research Assistant - Autonomous Systems Lab at Stanford Artificial Intelligence Laboratory (SAIL), a company with 66 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a matched LinkedIn profile for Daniel Morton.
Daniel Morton previously worked as Research Assistant - Interactive Perception and Robot Learning Lab at Stanford Artificial Intelligence Laboratory (Sail) and Robotics Software Engineer at Medra. Daniel Morton holds Doctor Of Philosophy - Phd, Mechanical Engineering, 4.00 from Stanford University.
Email format at Stanford Artificial Intelligence Laboratory (SAIL)
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About Daniel Morton
I am a PhD student in the Autonomous Systems Lab at Stanford, advised by Marco Pavone (asl.stanford.edu). I am also co-advised by Mark Cutkosky (bdml.stanford.edu), and during my Master's, I worked with Jeannette Bohg (iprl.stanford.edu).In general, I am interested in the following areas:- Conventional and "Unconventional" robotic manipulation, with a variety of hardware embodiments- Optimal and learning-based control- Simulation- Aerospace applicationsPlease reach out if you'd like to chat!Personal website: http://danielpmorton.com
Listed skills include Leadership, Robot Operating System, Pandas, Arduino, and 35 others.
Daniel Morton's current company
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Daniel Morton work experience
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Research Assistant - Autonomous Systems Lab
CurrentOptimization-based planning, control, simulation, and manipulation with NASA's Astrobee and Reachbot.Course assistant for AA203: Optimal and Learning-Based Controlhttps://asl.stanford.edu/ http://iprl.stanford.edu/
Research Assistant - Interactive Perception And Robot Learning Lab
Robotics Software Engineer
Building robotics software from the ground-up to automate biology research processes
Research Assistant - Organic Robotics Lab
Developed soft-robotic morphing wings with optical strain sensing embedded within compliant lattice structures. Read about our work at the links below:(Journal) https://doi.org/10.1177/00219983231151397(Arxiv) https://arxiv.org/abs/2301.07859
Intern, Propulsion Research And Technology
Conceptual system evaluation for future launch platforms (nuclear propulsion, ground-based accelerators). Also, designed high-efficiency heat exchangers, and wrote a program to automatically generate these.
Intern, Product Development
Electronics integration design for interiors of the EcoDemonstrator flight-test program and 737. Also, led a team of six students to design and pitch a new stowage structure concept through the Boeing Innovation Challenge, and filed for a patent
Daniel Morton education
Doctor Of Philosophy - Phd, Mechanical Engineering, 4.00
Bachelor Of Science - Bs, Mechanical Engineering, 4.14
Mechanical Engineering, 3.97
Frequently asked questions about Daniel Morton
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What company does Daniel Morton work for?
Daniel Morton works for Stanford Artificial Intelligence Laboratory (SAIL).
What is Daniel Morton's role at Stanford Artificial Intelligence Laboratory (SAIL)?
Daniel Morton is listed as Research Assistant - Autonomous Systems Lab at Stanford Artificial Intelligence Laboratory (SAIL).
Where is Daniel Morton based?
Daniel Morton is based in San Francisco Bay Area, United States, United States while working with Stanford Artificial Intelligence Laboratory (SAIL).
What companies has Daniel Morton worked for?
Daniel Morton has worked for Stanford Artificial Intelligence Laboratory (Sail), Medra, Cornell University, Nasa - National Aeronautics And Space Administration, and Boeing.
How can I contact Daniel Morton?
You can use AeroLeads to view verified contact signals for Daniel Morton at Stanford Artificial Intelligence Laboratory (SAIL), including work email, phone, and LinkedIn data when available.
What schools did Daniel Morton attend?
Daniel Morton holds Doctor Of Philosophy - Phd, Mechanical Engineering, 4.00 from Stanford University.
What skills is Daniel Morton known for?
Daniel Morton is listed with skills including Leadership, Robot Operating System, Pandas, Arduino, Autocad, C, Fea, and Microsoft Powerpoint.
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