Keiko Nagami

According to our database, Keiko Nagami authored at least 8 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

VISTA: Open-Vocabulary, Task-Relevant Robot Exploration with Online Semantic Gaussian Splatting.

Keiko Nagami, Timothy Chen, Javier Yu, Ola Shorinwa, Maximilian Adang, Carlyn Dougherty, Eric Cristofalo, Mac Schwager

CoRR, July, 2025

SOUS VIDE: Cooking Visual Drone Navigation Policies in a Gaussian Splatting Vacuum.

Jun En Low, Maximilian Adang, Javier Yu, Keiko Nagami, Mac Schwager

IEEE Robotics Autom. Lett., May, 2025

Splat-Nav: Safe Real-Time Robot Navigation in Gaussian Splatting Maps.

Timothy Chen, Ola Shorinwa, Joseph Bruno, Aiden Swann, Javier Yu, Weijia Zeng, Keiko Nagami, Philip M. Dames, Mac Schwager

IEEE Trans. Robotics, 2025

2024

State Estimation and Belief Space Planning Under Epistemic Uncertainty for Learning-Based Perception Systems.

Keiko Nagami, Mac Schwager

IEEE Robotics Autom. Lett., June, 2024

2023

NerfBridge: Bringing Real-time, Online Neural Radiance Field Training to Robotics.

Javier Yu, Jun En Low, Keiko Nagami, Mac Schwager

CoRR, 2023

2022

Aerial Grasping and the Velocity Sufficiency Region.

Tony G. Chen, Kenneth A. W. Hoffmann, Jun En Low, Keiko Nagami, David Lentink, Mark R. Cutkosky

IEEE Robotics Autom. Lett., 2022

2021

HJB-RL: Initializing Reinforcement Learning with Optimal Control Policies Applied to Autonomous Drone Racing.

Keiko Nagami, Mac Schwager

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

2019

AirSim Drone Racing Lab.

Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor

Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019