Quick Overview: My entry for the Hackaday Prize 2017: A semi-autonomous robotic Accompanying video to the paper: Deep Reinforcement The video shows implementation of Reinforcement
Vision Based Grasp Learning - Detailed Overview & Context
My entry for the Hackaday Prize 2017: A semi-autonomous robotic Accompanying video to the paper: Deep Reinforcement The video shows implementation of Reinforcement developed by HYU Biorobotics Lab (Minchang Sung) ICRA 2018 Spotlight Video Interactive Session Thu AM Pod Q.7 Authors: Quillen, Deirdre; Jang, Eric; Nachum, Ofir; Finn, Chelsea; ... We utilized YOLOv5 to detect the objects in the RGB image, followed by a depth image processing algorithm to extract the objects' ...
This implementation was widely inspired by this paper: and the Kuka Diverse Object MERL Researcher Siddarth Jain and MERL intern Baichuan Huang presented their paper titled "EARL: Eye-on-Hand ... Socratic Models (SMs) is a framework that composes multiple large pretrained "foundation" models (e.g., large language models, ... Authors: Yan Wang*, Gautham Vasan*, A. Rupam Mahmood Code: Abstract: Real-time Technical Highlights: LLM-Powered Human Interaction, VLM- Carl Winge's reimplementation of the paper - "Sample Efficient
Tactile-Visual Fusion Based Robotic Grasp Detection Method with A Reproducible Sensor Supporting video for the IROS paper: Berk Calli, Aaron Dollar, "