Tasbolat Taunyazov

Tasbolat Taunyazov

6 Posts

I love Robots!

GRaCE: Optimizing Grasps to Satisfy Ranked Criteria in Complex Scenarios

We propose an optimization based grasp synthesis framework, GRaCE, to generate context-specific grasps in complex scenarios. We test GRaCE in a simulator and a real-world grasping tasks.

Refining 6-DoF Grasps with Context-Specific Classifiers

We propose a sampling-based grasp synthesis framework, GraspFlow, to generate context-specific grasps. We test GraspFlow in a real-world table-top grasping task.

Extended Tactile Perception

We show that robots can extend their perception through grasped tools/objects via dynamic tactile sensing.

Event-Driven Visual-Tactile Sensing and Learning

Accurate, Fast, and Low-powered Multi-Sensory Perception via Neuromorphic Sensing and Learning

Fast texture classification using tactile neural coding and spiking neural network

We show that robots achieve fast classification of textures through Neural Encoding and Spiking Neural Network.

Towards Effective Tactile Identification of Textures using a Hybrid Touch Approach

We show that iCub robot classifies the surface textures with both sliding and touch movements under loose constraints with high accuracy.