Advanced Robotics Centre, National University of Singapore
For more info, contact Marcelo H Ang Jr (email@example.com)
Video: Zero Moment Control - following an unknown surface. Moment around the x and y axes of the contact task frame is controlled to be zero allows the robot to automatically turn it's end-effector to follow the unknown surface.
Mpg video file: Canopy Polishing using Compliant Motion with Base Motion as Disturbance
Video: a Kuka IIWA following a unknown surface with a sharp discountinuity (corner) using Impedance Control. A force normal to the surface is commnanded togethet with a motion trajectory parallel to the surface.
Mpg video file: Canopy polishing using compliant motion across wrist singularity
Mpg video file: Singularity handling on the PUMA 560 robot
Video: Impact is handled by damping control
Video: A brain-controlled wheelchair - controlled by EMG signals. The "oddball" paradigm is deployed -> to allow the user to select the destination desired from a 3 x 3 table of possible destinations that are flashing. Since we control the flashing, the destination desired is matched with a synchronized EMG spike.
Video: Dorothy - A social robot - video shows the different possible movements allowing dorothy to express different emotions
Video: A head mounted display with head tracking - allowing a user to see what a remote robot is seeing.
Video: Leaning human motion skill of object handover. Robot learns when to natually let go.
Video: Worm-like robot using Dielectric Elastomer Acrtuator (3m VHB Tape)
Video: Air activated silicone fingers - airchannels insde the silicon material allows the finger to bend naturally.
Video: Robotic gripper with 3 soft fingers (air activated silicone) on a Kuka IIWA.
Video: Gripper releasing the object - see how soft the grippers are
Video: An omni-directional mobile base with powered caster wheels inspired by a swivel chair. Take a look at the wheel of your swivel chair: replace the two discs in one wheel with 2 indendently driven hub motors. These 2 motors allow the rolling and steering of the wheel.
Video: Omni-directional motion capability achieved using meccanum wheels - see our mobile robot manouever around cooridors. It's capable of a 200 kg payload
Video: A tracked mobile base that can traversed unstructured environment and climb up/down stairs. The body and flippers have independent tracks, which allow it to move using flippers, body-tracks or both.
Learning the Environment
Video: Recognition/Classification of Objects using Deep Neural Networks. Persons and cars (static and dynamic) are detected and tracked.
Video: Object classification and semantic mapping - in an office environment in NUS CREATE - UTown
Youtube or Video: Hop on and experience a driverless ride with SCOT!
SCOT, or Shared Computer Operated Transport, is Singapore’s first locally-developed driverless car, jointly developed by NUS Engineering and the Singapore-MIT Alliance for Research and Technology. SCOT is currently on trial within Singapore’s one-north business park.
Youtube or Video: Multi-class Mobility on Demuand using Autonomous Vehicles
Youtube or Video: SMART has expanded its self-driving vehicle fleet to now include a personal mobility class with a mobility scooter. The scooter was demonstrated in the 2016 MIT Open House, with this video showing test runs from the National University of Singapore (NUS) University Town Plaza, MIT's Infinite Corridor, and footage from the MIT Open House exhibit at Massachusetts Avenue and Vassar Street parking lot.
Youtube or Video: Mapping is done with a single 2D lidar that is tilted 15 degree below horizontal. You can see map adjusting itself when loop closures are encountered. We are able to localizate and map without GPS.
Youtube or Video: Generalized Predictive Planning for Autonomous Driving in Dynamic Environments. Self-driving vehicle planner stochastically generates coupled spatial paths and velocity profiles, collision checking over space-time around predicted obstacle trajectories. Generality shown by same algorithm applied for planning onboard three vehicle platforms (scooter, buggy, and road car), in varied environments (pedestrian and on-road).
Youtube or Video: V2V Communication is utilized to enable coordination for collision avoidance and for resolving deadlocks between multiple vehicles. We use a "coordination diagram" with localized optimization to avoid deadlocks.
Youtube or Video: Our first publc deployment of our autonomous buggies at the Japanese and Chinese Gardens in Singapore, October 2014.
news article here.
Youtube or Video: Tele-driving a car.
Youtube or Video: Why Autonomous Vehicles - for fun!
See our in-house designed omnidirectional mobile robot following a person: video1, video2