UCSD Advanced Robotics and Controls Lab

Ucsd Advanced Robotics And Controls Lab

Research, 6340 Sequence Dr, La Jolla, California, 92121, United States, 11-50 Employees

ucsdarclab.com

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Who is UCSD ADVANCED ROBOTICS AND CONTROLS LAB

The UCSD Advanced Robotics and Controls Lab (ARClab) is directed by Professor Michael Yip and dedicated to developing intelligent algorithms and controls new robotic systems for primarily...

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  • 6340 Sequence Dr, La Jolla, California, 92121, United States Headquarters: 6340 Sequence Dr, La Jolla, California, 92121, United States
  • 2015 Date Founded: 2015
  • 11-50 Employees: 11-50
  • dollar-icon Revenue: $1 Billion and Over
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Research

SIC SIC Code: 3841 | NAICS Code: 423450 | Show More

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Frequently Asked Questions Regarding UCSD Advanced Robotics and Controls Lab

Answer: UCSD Advanced Robotics and Controls Lab's headquarters are located at 6340 Sequence Dr, La Jolla, California, 92121, United States

Answer: UCSD Advanced Robotics and Controls Lab's phone number is +12*********

Answer: UCSD Advanced Robotics and Controls Lab's official website is https://ucsdarclab.com

Answer: UCSD Advanced Robotics and Controls Lab's revenue is $1 Billion and Over

Answer: UCSD Advanced Robotics and Controls Lab's SIC: 3841

Answer: UCSD Advanced Robotics and Controls Lab's NAICS: 423450

Answer: UCSD Advanced Robotics and Controls Lab has 11-50 employees

Answer: UCSD Advanced Robotics and Controls Lab is in Research

Answer: UCSD Advanced Robotics and Controls Lab contact info: Phone number: +12********* Website: https://ucsdarclab.com

Answer: The UCSD Advanced Robotics and Controls Lab (ARClab) is directed by Professor Michael Yip and dedicated to developing intelligent algorithms and controls new robotic systems for primarily medical applications. Our group is a multi-disciplinary team comprising of electrical engineers, mechanical engineers, computer scientists, and clinical collaborators at UC San Diego. Our technical areas span robot design, control and motion planning, computer vision, and machine learning.

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