4 citations · 5 across the 5 of their papers we have counts for
5 papers
Visual IRL for Human-Like Robotic Manipulation
Ehsan Asali, Prashant Doshi
We present a novel method for collaborative robots (cobots) to learn manipulation tasks and perform them in a human-like manner. Our method falls under the learn-from-observation (…
MVSA-Net: Multi-View State-Action Recognition for Robust and Deployable Trajectory Generation
Ehsan Asali, Prashant Doshi, Jin Sun
The learn-from-observation (LfO) paradigm is a human-inspired mode for a robot to learn to perform a task simply by watching it being performed. LfO can facilitate robot integratio…
Curious Exploration and Return-based Memory Restoration for Deep Reinforcement Learning
Saeed Tafazzol, Erfan Fathi, Mahdi Rezaei +1
Reward engineering and designing an incentive reward function are non-trivial tasks to train agents in complex environments. Furthermore, an inaccurate reward function may lead to…
DeepMSRF: A novel Deep Multimodal Speaker Recognition framework with Feature selection
Ehsan Asali, Farzan Shenavarmasouleh, Farid Ghareh Mohammadi +2
For recognizing speakers in video streams, significant research studies have been made to obtain a rich machine learning model by extracting high-level speaker's features such as f…
Namira Soccer 2D Simulation Team Description Paper 2020
Ehsan Asali, Farzin Negahbani, Shahriyar Bamaei +1
In this article, we will discuss methods and ideas which are implemented on Namira 2D Soccer Simulation team in the recent year. Numerous scientific and programming activities were…