Name
Affiliation
Papers
ALEKSANDRA FAUST
Univ New Mexico, Dept Comp Sci, Albuquerque, NM 87131 USA
37
Collaborators
Citations 
PageRank 
86
68
14.83
Referers 
Referees 
References 
195
786
317
Search Limit
100786
Title
Citations
PageRank
Year
The Role of Compute in Autonomous Micro Aerial Vehicles: Optimizing for Mission Time and Energy Efficiency00.342022
Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles00.342022
Multi-Task Learning with Sequence-Conditioned Transporter Networks.00.342022
Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles00.342022
Visual Navigation Among Humans With Optimal Control As A Supervisor00.342021
Neural Collision Clearance Estimator for Batched Motion Planning.00.342021
Air Learning: A Deep Reinforcement Learning Gym For Autonomous Aerial Robot Visual Navigation20.442021
Avoidance Critical Probabilistic Roadmaps for Motion Planning in Dynamic Environments00.342021
Tiny Robot Learning (tinyRL) for Source Seeking on a Nano Quadcopter00.342021
Fast Deep Swept Volume Estimator00.342021
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation10.382020
Safe Policy Learning for Continuous Control.00.342020
Long-Range Indoor Navigation With PRM-RL10.372020
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning10.352020
Comparison Of Deep Reinforcement Learning Policies To Formal Methods For Moving Obstacle Avoidance00.342019
Learning Navigation Behaviors End-To-End With Autorl80.502019
Lyapunov-based Safe Policy Optimization for Continuous Control.00.342019
Rl-Rrt: Kinodynamic Motion Planning Via Learning Reachability Estimators From Rl Policies00.342019
Long-Range Indoor Navigation with PRM-RL.40.412019
Evolving Rewards to Automate Reinforcement Learning.00.342019
The Role of Compute in Autonomous Aerial Vehicles.00.342019
Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots.00.342019
FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning.10.352018
Resilient Computing With Reinforcement Learning On A Dynamical System: Case Study In Sorting00.342018
Deep Neural Networks for Swept Volume Prediction Between Configurations.00.342018
Getting Involved for a Rewarding Experience [Young Professionals].00.342018
PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning.00.342018
Fast Swept Volume Estimation with Deep Learning.00.342018
MAVBench - Micro Aerial Vehicle Benchmarking.30.372018
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression.00.342018
Learning to Navigate the Web.00.342018
Learning Navigation Behaviors End to End.00.342018
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning.30.392018
Automated Aerial Suspended Cargo Delivery through Reinforcement Learning181.082017
Avoiding moving obstacles with stochastic hybrid dynamics using PEARL: PrEference Appraisal Reinforcement Learning40.492016
A Reinforcement Learning Approach Towards Autonomous Suspended Load Manipulation Using Aerial Robots80.782013
Learning swing-free trajectories for UAVs with a suspended load140.792013