Name
Playground
About
FAQ
GitHub
Playground
Shortest Path Finder
Community Detector
Connected Papers
Author Trending
Claudia Calabrese
Kai Hu
Hao Mao
Ricardo Villares
Peter Malec
Zhen Yang
Giovanni Venturelli
Chen Ma
Radu Timofte
Kuanrui Yin
Home
/
Author
/
ALEKSANDRA FAUST
Author Info
Open Visualization
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
100
786
Publications (37 rows)
Collaborators (86 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
The Role of Compute in Autonomous Micro Aerial Vehicles: Optimizing for Mission Time and Energy Efficiency
0
0.34
2022
Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles
0
0.34
2022
Multi-Task Learning with Sequence-Conditioned Transporter Networks.
0
0.34
2022
Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles
0
0.34
2022
Visual Navigation Among Humans With Optimal Control As A Supervisor
0
0.34
2021
Neural Collision Clearance Estimator for Batched Motion Planning.
0
0.34
2021
Air Learning: A Deep Reinforcement Learning Gym For Autonomous Aerial Robot Visual Navigation
2
0.44
2021
Avoidance Critical Probabilistic Roadmaps for Motion Planning in Dynamic Environments
0
0.34
2021
Tiny Robot Learning (tinyRL) for Source Seeking on a Nano Quadcopter
0
0.34
2021
Fast Deep Swept Volume Estimator
0
0.34
2021
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation
1
0.38
2020
Safe Policy Learning for Continuous Control.
0
0.34
2020
Long-Range Indoor Navigation With PRM-RL
1
0.37
2020
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning
1
0.35
2020
Comparison Of Deep Reinforcement Learning Policies To Formal Methods For Moving Obstacle Avoidance
0
0.34
2019
Learning Navigation Behaviors End-To-End With Autorl
8
0.50
2019
Lyapunov-based Safe Policy Optimization for Continuous Control.
0
0.34
2019
Rl-Rrt: Kinodynamic Motion Planning Via Learning Reachability Estimators From Rl Policies
0
0.34
2019
Long-Range Indoor Navigation with PRM-RL.
4
0.41
2019
Evolving Rewards to Automate Reinforcement Learning.
0
0.34
2019
The Role of Compute in Autonomous Aerial Vehicles.
0
0.34
2019
Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots.
0
0.34
2019
FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning.
1
0.35
2018
Resilient Computing With Reinforcement Learning On A Dynamical System: Case Study In Sorting
0
0.34
2018
Deep Neural Networks for Swept Volume Prediction Between Configurations.
0
0.34
2018
Getting Involved for a Rewarding Experience [Young Professionals].
0
0.34
2018
PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning.
0
0.34
2018
Fast Swept Volume Estimation with Deep Learning.
0
0.34
2018
MAVBench - Micro Aerial Vehicle Benchmarking.
3
0.37
2018
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression.
0
0.34
2018
Learning to Navigate the Web.
0
0.34
2018
Learning Navigation Behaviors End to End.
0
0.34
2018
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning.
3
0.39
2018
Automated Aerial Suspended Cargo Delivery through Reinforcement Learning
18
1.08
2017
Avoiding moving obstacles with stochastic hybrid dynamics using PEARL: PrEference Appraisal Reinforcement Learning
4
0.49
2016
A Reinforcement Learning Approach Towards Autonomous Suspended Load Manipulation Using Aerial Robots
8
0.78
2013
Learning swing-free trajectories for UAVs with a suspended load
14
0.79
2013
1