Edgar Granados

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 16

Top Topics

Efficient Learning

Top Venues

Found. Trends Robotics

Publications

Ewerton R. Vieira, Aravind Sivaramakrishnan, Sumanth Tangirala, Edgar Granados, Konstantin Mischaikow, Kostas E. Bekris
MORALS: Analysis of High-Dimensional Robot Controllers via Topological Tools in a Latent Space. ICRA (2024)
Ewerton R. Vieira, Aravind Sivaramakrishnan, Yao Song, Edgar Granados, Marcio Gameiro, Konstantin Mischaikow, Ying Hung, Kostas E. Bekris
Data-Efficient Characterization of the Global Dynamics of Robot Controllers with Confidence Guarantees. ICRA (2023)
Ewerton R. Vieira, Aravind Sivaramakrishnan, Sumanth Tangirala, Edgar Granados, Konstantin Mischaikow, Kostas E. Bekris
MORALS: Analysis of High-Dimensional Robot Controllers via Topological Tools in a Latent Space. CoRR (2023)
Ewerton R. Vieira, Edgar Granados, Aravind Sivaramakrishnan, Marcio Gameiro, Konstantin Mischaikow, Kostas E. Bekris
Morse Graphs: Topological Tools for Analyzing the Global Dynamics of Robot Controllers. WAFR (2022)
Troy McMahon, Aravind Sivaramakrishnan, Edgar Granados, Kostas E. Bekris
A Survey on the Integration of Machine Learning with Sampling-based Motion Planning. Found. Trends Robotics 9 (4) (2022)
Ewerton R. Vieira, Edgar Granados, Aravind Sivaramakrishnan, Marcio Gameiro, Konstantin Mischaikow, Kostas E. Bekris
Morse Graphs: Topological Tools for Analyzing the Global Dynamics of Robot Controllers. CoRR (2022)
Troy McMahon, Aravind Sivaramakrishnan, Kushal Kedia, Edgar Granados, Kostas E. Bekris
Terrain-Aware Learned Controllers for Sampling-Based Kinodynamic Planning over Physically Simulated Terrains. IROS (2022)
Troy McMahon, Aravind Sivaramakrishnan, Edgar Granados, Kostas E. Bekris
A Survey on the Integration of Machine Learning with Sampling-based Motion Planning. CoRR (2022)
Liam Schramm, Yunfu Deng, Edgar Granados, Abdeslam Boularias
USHER: Unbiased Sampling for Hindsight Experience Replay. CoRL (2022)
Seth Karten, Aravind Sivaramakrishnan, Edgar Granados, Troy McMahon, Kostas E. Bekris
Data-Efficient Learning of High-Quality Controls for Kinodynamic Planning used in Vehicular Navigation. CoRR (2022)
Liam Schramm, Yunfu Deng, Edgar Granados, Abdeslam Boularias
USHER: Unbiased Sampling for Hindsight Experience Replay. CoRR (2022)
Ewerton R. Vieira, Aravind Sivaramakrishnan, Yao Song, Edgar Granados, Marcio Gameiro, Konstantin Mischaikow, Ying Hung, Kostas E. Bekris
Data-Efficient Characterization of the Global Dynamics of Robot Controllers with Confidence Guarantees. CoRR (2022)
Edgar Granados, Abdeslam Boularias, Kostas E. Bekris, Mridul Aanjaneya
Model Identification and Control of a Low-cost Mobile Robot with Omnidirectional Wheels using Differentiable Physics. ICRA (2022)
Aravind Sivaramakrishnan, Edgar Granados, Seth Karten, Troy McMahon, Kostas E. Bekris
Improving Kinodynamic Planners for Vehicular Navigation with Learned Goal-Reaching Controllers. CoRR (2021)
Aravind Sivaramakrishnan, Edgar Granados, Seth Karten, Troy McMahon, Kostas E. Bekris
Improving Kinodynamic Planners for Vehicular Navigation with Learned Goal-Reaching Controllers. IROS (2021)
Michal Kleinbort, Edgar Granados, Kiril Solovey, Riccardo Bonalli, Kostas E. Bekris, Dan Halperin
Refined Analysis of Asymptotically-Optimal Kinodynamic Planning in the State-Cost Space. ICRA (2020)
Aasavari Bhave, Eurípides Montagne, Edgar Granados
Describing Quantum Circuits with Systolic Arrays. ASAP (2006)