Walter S. Lasecki
Papers
5
Total Citations
41
H-Index
4
About
Walter S. Lasecki is a pioneering researcher at the intersection of human-computer interaction, crowdsourcing, and robotics. His work fundamentally reimagines how dynamic crowd workers can act as a single, intelligent "crowd actor" to enhance real-time robotic perception and planning. Lasecki’s major contributions include developing systems like EURECA, which uses crowd assistance to help robots understand unfamiliar indoor environments, and frameworks for real-time collaborative planning that blend human intuition with algorithmic efficiency. His research on shared autonomy and human-in-the-loop pose estimation has advanced how robots perceive and manipulate objects in 3D space, with applications ranging from assistive robotics to autonomous vehicles. With over 40 citations across his most influential papers, Lasecki’s work has been instrumental in demonstrating that crowds can provide on-demand, scalable intelligence for complex spatial reasoning tasks. Notably, his concept of the "crowd actor" challenges traditional HCI models, offering a novel paradigm for systems that respond to real-world events in real time. For students and researchers, Lasecki’s research represents a compelling vision of how human and machine intelligence can be seamlessly integrated to tackle problems that neither could solve alone.
Research Focus
Key Achievements
Top Papers
- 1EURECA: Enhanced Understanding of Real Environments via Crowd Assistance15 citations · 2018
- 2Real-Time Collaborative Planning with the Crowd10 citations · 2021
- 3Target Acquisition and the Crowd Actor6 citations · 2015
- 4
- 5Human-in-the-loop Pose Estimation via Shared Autonomy4 citations · 2021