What it does

An autonomous robotic arm designed to detect and pickup simple objects in the area in front of it. The robot firstly performs a fast scan by rotating an IR distance sensor to detect if there is any objects in front of it. If there is an object, the robot will perform another scan to more accurately estimate the Cartesian coordinates of the object. When it has this information it will attempt to pick the object up with its claw and move it to the trash bin.

How we built it

The arm itself has 5 Dynamixel AX-12 servos and one AX-18 providing for 4 degrees of freedom. At its base it has a Sharp GP2D12 sensor. The servos are commanded directly from a laptop running a python script. The script gets input from the Arduino board which digitizes the analog output of the IR sensor. Outlier detection and averaging are used to make the signal more reliable. Furthermore, the signal is processed into distance by making use of interpolating functions that were determined from a calibration test. Distance data is then processed to estimate the size of the object. Location and size is then used by the program to command the arm to grasp and lift the object. In order to achieve this, firstly, a forward kinematic model was validated, followed by the implementation of the inverse kinematic model in a Python function. The claw is 3D printed and adapted from an open source project.

Challenges we ran into

Lack of documentation, under performing servos, bad sizing estimates. Connecting all the parts together was not an easy task because there were some misfits of holes and connections.

Accomplishments that we're proud of

Getting accurate readings from the Sharp sensor, overcoming limits in servo torque and remodeling the design of the gripper.

What We learned

Be flexible! Be ready to change crucial parts if needed. Take risks! Be resourceful and have a very well plan prepared in advance!

What's next for "Scan and Grab" - autonomous robotic arm

Smoother movements, multiple objects, more reliable operation.

Built With

Share this project: