Joseph J. LaViola
Papers
7
Total Citations
101
H-Index
5
About
Joseph J. LaViola is a leading researcher in human-robot interaction and natural user interfaces, with a focus on making robot control more intuitive and accessible. His work spans head-tracked displays for teleoperation, gesture-based control, and sketch-based interfaces for robotic manipulation. LaViola’s most cited paper (47 citations) explores head tracking with head-mounted displays for first-person robot teleoperation, introducing novel control metaphors inspired by virtual reality. He also investigates using Minecraft as a platform to spark interest in programming, developing the CodeBlocks system (31 citations). More recently, LaViola has advanced swarm robotics command and control through natural human interfaces, and developed sketch-based systems for human-guided constrained object manipulation. His research emphasizes adjustable autonomy, allowing operators to seamlessly shift between teleoperation and autonomous control. With over 100 citations across his top works, LaViola’s contributions are shaping the future of human-in-the-loop robotics, making complex systems more approachable for both experts and novices. His innovative approach to combining virtual reality, gaming, and sketch-based interaction continues to push boundaries in human-robot teaming.
Research Focus
Key Achievements
Top Papers
- 1
- 2Exploring Minecraft as a conduit for increasing interest in programming.31 citations · 2013
- 3
- 4Natural User Interfaces for Adjustable Autonomy in Robot Control6 citations · 2015
- 5Sketching Affordances for Human-in-the-loop Robotic Manipulation Tasks5 citations · 2019
- 6
- 7A Sketch-Based System for Human-Guided Constrained Object Manipulation2 citations · 2019