research
∙
08/30/2022
Sim-to-Real Transfer of Robotic Assembly with Visual Inputs Using CycleGAN and Force Control
Recently, deep reinforcement learning (RL) has shown some impressive suc...
share
research
∙
03/10/2021
Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks
Collaborative robots are expected to be able to work alongside humans an...
research
∙
10/25/2020
Proactive Action Visual Residual Reinforcement Learning for Contact-Rich Tasks Using a Torque-Controlled Robot
Contact-rich manipulation tasks are commonly found in modern manufacturi...
research
∙
06/01/2020
Center-of-Mass-based Robust Grasp Planning for Unknown Objects Using Tactile-Visual Sensors
An unstable grasp pose can lead to slip, thus an unstable grasp pose can...
research
∙
05/12/2020
Towards Memory Safe Python Enclave for Security Sensitive Computation
Intel SGX Guard eXtensions (SGX), a hardware-supported trusted execution...
research
∙
08/22/2017
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection
The problem of cross-platform binary code similarity detection aims at d...
research
∙
04/09/2013
