|Locomotion & Manipulation
Examples of locomotion and manipulation tasks. We control the soft robots or soft grabbed objects using our inverse algorithm with friction contact handling (stick contact only).
Defrost was part of the RoboSoft Grand Challenge 2018, and received the second place award of the manipulation challenge, for its continuum manipulator. The manipulator motion is controlled through simulation, using the inverse methods available in the SoftRobots.Inverse plugin.
|Real-time Inverse Model with Contact Handling
Simulation and motion control of a tendon-driven soft robot interacting with its environment, and with self-collision regions. The trunk-like robot is actuated with eight cables (two sections) and the motion of its tip is interactively controlled using our inverse methods.
|SOFIA – SOFt Insect Allterrain
SOFIA was designed, using simulation, for the terrestrian race of the RoboSoft Grand Challenge 2016.
|Tendon-driven Soft Arm with Gripper
This tendon-driven soft arm is actuated with ten strings. We were able to control two positions of the robot (the tip and the middle point) using a gametrak controller and our inverse methods.
|Cable Actuation – Soft Gripper, Actuator Control (forward model)
The soft gripper is a simple grasper made of three deformable fingers. This example is an interactive simulation of the gripper including its interaction with an object and its environment. In this simulation, one can control the grasping actuator and the location of the soft gripper.
|Cable Actuation – Diamond Robot, Effector Control (inverse model)
The diamond robot is a robot made of silicone and actuated with four cables. In this simulation, we can interactively control the end-effector (top of the robot) position. The scene can be associated to a real robot through the use of an Arduino board.
|Cable Actuation – Soft Gripper, Effector Control (inverse model)
The soft gripper robot is composed of three fingers made of an elastic material and actuated with cables. In this simulation, we demonstrate that it is possible to interactively manipulate the robot by specifying the positions of fingertips.
|Pneumatic & Cable Actuation – Stanford Bunny, Effector Control (inverse model)
StanfordBunny simulation with pneumatic and cable actuation. The controlled point on the model is shown by the green square, and its target by the orange sphere.
|Pneumatic Actuation – Pneu Nets, Actuator Control (forward model)
In this simulation, we model and simulate the PneuNets Bending Actuators developed by the Whitesides Research Group at Harvard. The pressure in the cavity is interactively set by a user.