5 papers
IN-RIL: Interleaved Reinforcement and Imitation Learning for Policy Fine-Tuning
Dechen Gao, Hang Wang, Hanchu Zhou +5
Imitation learning (IL) and reinforcement learning (RL) each offer distinct advantages for robotics policy learning: IL provides stable learning from demonstrations, and RL promote…
Automating Infrastructure Surveying: A Framework for Geometric Measurements and Compliance Assessment Using Point Cloud Data
Amin Ghafourian, Andrew Lee, Dechen Gao +3
Automation can play a prominent role in improving efficiency, accuracy, and scalability in infrastructure surveying and assessing construction and compliance standards. This paper…
Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation
Al Arsh Basheer, Justin Chang, Yuyang Chen +2
This paper presents the Krysalis Hand, a five-finger robotic end-effector that combines a lightweight design, high payload capacity, and a high number of degrees of freedom (DoF) t…
User-Centered Insights into Assistive Navigation Technologies for Individuals with Visual Impairment
Iman Soltani, Johnaton Schofield, Mehran Madani +2
Navigational challenges significantly impact the independence and mobility of Individuals with Visual Impairment (IVI). While numerous assistive technologies exist, their adoption…
Low-Cost Infrared Vision Systems for Improved Safety of Emergency Vehicle Operations Under Low-Visibility Conditions
M-Mahdi Naddaf-Sh, Andrew Lee, Kin Yen +2
This study investigates the potential of infrared (IR) camera technology to enhance driver safety for emergency vehicles operating in low-visibility conditions, particularly at nig…