Luis Sentis
Biographic Data
| ID | 9257337 |
|---|---|
| NAME | Luis Sentis |
| GIVEN NAMES | Luis |
| FAMILY NAME | Sentis |
| SIGNATURE | SENTIS L |
| AFFILIATIONS | The University of Texas at Austin |
| ORCID | 0000-0003-2856-4863 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Indoor Human–Mobile Robot Encounters
Despite the rise of mobile robot deployments in community settings, the perceived safety of cohabitants remains understudied in many domains. To address this gap, we perform a study to identify elements of indoor human–mobile robot encounters that impact perceived safety. This study evaluates the effects of robot movement behavior and the number of robots nearby on perceived safety of participants. Further, this article investigates how the prese…
Decentralized Actuator Control Laboratory
University laboratories deliver unique hands-on experimentation opportunities for STEM students, but often lack state-of-the-art equipment and provide limited access to their equipment. The University of Texas Cloud Laboratory (CLAB) provides remote access to cutting-edge series elastic actuators for student experimentation regarding human-centered robotics, dynamical systems, and controls. Through a browser-based interface, students are provided…
The Robot Economy
No prominent works on this page.
The Robot Economy
Decentralized Actuator Control Laboratory
University laboratories deliver unique hands-on experimentation opportunities for STEM students, but often lack state-of-the-art equipment and provide limited access to their equipment. The University of Texas Cloud Laboratory (CLAB) provides remote access to cutting-edge series elastic actuators for student experimentation regarding human-centered robotics, dynamical systems, and controls. Through a browser-based interface, students are provided…
Indoor Human–Mobile Robot Encounters
Despite the rise of mobile robot deployments in community settings, the perceived safety of cohabitants remains understudied in many domains. To address this gap, we perform a study to identify elements of indoor human–mobile robot encounters that impact perceived safety. This study evaluates the effects of robot movement behavior and the number of robots nearby on perceived safety of participants. Further, this article investigates how the prese…
Robot (3 works) · Robotics (3 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Actuator (1 work) · Adaptation (eye) (1 work) · AI in Service Interactions (1 work) · Artificial Intelligence (1 work) · Automation (1 work) · Autonomy (1 work)