We propose algorithms and applications for using the hand as an interface device in virtual and physical spaces. In virtual drawing, by tracking the hand in 3D and estimating a vir...
In this paper, we deal with imitation learning of arm movements in humanoid robots. Hidden Markov Models (HMM) are used to generalize movements demonstrated to a robot multiple tim...
Limitations in modern sensing technologies result in large errors in sensed target object geometry and location in unstructured environments. As a result, positioning a robotic end...
Aaron M. Dollar, Leif P. Jentoft, Jason H. Gao, Ro...
We use our hands to manipulate objects in our daily life. The hand is capable of accomplishing diverse tasks such as pointing, gripping, twisting, and tearing. However, there is no...
— We propose a new method of tactile sensing for a fingertip of robotic hand. Using a simple fingertip with soft surface cover and a six-axis force/torque sensor, developed is ...