FRC Team Under Control 1156 2015 Robot: Reaver

This is REAVER, our 2015 Robot for Recycle Rush. We will be attending Virginia Regional and SBPLI Regional.

Help our team in our crowdfunding program: http://www.kickante.com.br/campanhas/robotica-do-brasil-vai-fazer-bonito-la-fora
Ajude nossa equipe na nossa campanha colaborativa: http://www.kickante.com.br/campanhas/robotica-do-brasil-vai-fazer-bonito-la-fora

Facebook: Facebook.com/TeamUnderControl1156
Site: undercontrol1156.com
Twitter: Twitter.com/UnderCtrl1156
Instagram: Instagram.com/UnderControl1156

E-mail: robotica.1156@gmail.com

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ABB Robotics - Fanta Can Challenge- Level II - Superior Motion Control

Superior motion control is the hallmark of all ABB industrial robots. In the first FANTA Can Challenge we set a test that none of our competitors could come close to. Now with the Level II challenge we have "raised the bar another notch" by introducing a THIRD robot & tightening the tolerances. The gap between the cans & pin is now only 1mm. And as always with ABB robots "What you program is what you get - AT ANY SPEED".

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Arduino Quadcopter - Phase 2 (Mobile Control)

Arduino Quadcopter - Phase 2 (Mobile Control) This is my Arduino quadcopter. It uses one Arduino Uno to control the motors based on information received on the Xbee module. Controls are sent from the iOS device wirelessly to a laptop into Processing which then feeds them into my Arduino Base Station.

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Exoskeleton Mk2, Part 4: Advanced Cylinder Control

Check out my Patreon Campaign here: http://www.patreon.com/thehacksmith

For more projects, check out my website at:
http://www.thehacksmith.ca

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WARNING: THESE VIDEOS ARE FOR ENTERTAINMENT PURPOSES ONLY. PERSONAL USE OF VIDEO CONTENT IS AT YOUR OWN RISK.

Music from the YouTube Audio Library:
Eviction by Silent Partner

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DX: X6 2.4G 4-CH Remote Control Quadcopter w/ 300000 Pixels Camera

X6 2.4G 4-CH Remote Control Quadcopter w/ 300000 Pixels Camera / Light - Black + Green
Product link: http://dxurl.com/RTph
More options: http://www.dx.com/c/hobbies-toys-899/r-c-toys-801/r-c-helicopters-840

Specification
Gyroscope: Yes
Channels Quanlity: 4Channels
Function: 3D tumbling action , Up , Down , Left , Right , Forward , Backward , Hovering
Remote control frequency: 2.4GHzGHz
Remote Type: Radio Control
Remote Control Range: 50m
Indoor/Outdoor: Outdoor
Suitable Age: 12-15 Years , Grownups
Battery
Battery Capacity: 240mAh
Battery Type: Li-ion battery
Charging Time: 50minutes
Working Time: 11~12minutes

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MIT Robot on the Shoulder Control

MIT Robot on the Shoulder Control "A Robot on the Shoulder: Coordinated Human-Wearable Robot Control using Coloured Petri Nets and Partial Least Squares Predictions," by Baldin Llorens-Bonilla and H. Harry Asada from MIT, presented at ICRA 2014. Learn more: http://spectrum.ieee.org/automaton/robotics/industrial-robots/heres-that-extra-pair-of-robot-arms-youve-always-wanted

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Gesture-Based Robot Control with Variable Autonomy from the JPL BioSleeve

Gesture-Based Robot Control with Variable Autonomy from the JPL BioSleeve Presented at ICRA 2013 by Michael T. Wolf, Christopher Assad, Matthew T. Vernacchia, Joshua Fromm, and Henna L. Jethani from the Jet Propulsion Laboratory and the Massachusetts Institute of Technology.

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Learning Inverse Dynamics for Robot Control

High performance and compliant robot control require accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, machine learning offers a promising alternative for approximating the robot dynamics using measured data. This approach offers a natural framework to incorporate unknown nonlinearities as well as to continually adapt online for changes in the robot dynamics.

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NASA Robot Arm Control with Kinect

For more information, please visit: http://hi.jpl.nasa.gov

Using the new Xbox One Kinect sensor, we are able to manipulate the JACO robot arm in real time. By combining position tracking from the Kinect and rotational tracking with the Oculus, we provide a first-person view for the operator. Future work will include integrating sensor array data into the scene and translating our research to the Robonaut 2 humanoid on the International Space Station.

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Autonomy & Control (RVCA)

Autonomy & Control (RVCA) http://www.rec.ri.cmu.edu/projects/rvca/

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