Name
Affiliation
Papers
DANIEL D. LEE
GRASP Laboratory, University of Pennsylvania, Philadelphia, PA#TAB#
118
Collaborators
Citations 
PageRank 
165
1136
109.20
Referers 
Referees 
References 
2639
1757
885
Search Limit
1001000
Title
Citations
PageRank
Year
Learning Continuous Cost-to-Go Functions for Non-holonomic Systems00.342021
Occupancy Map Inpainting for Online Robot Navigation00.342021
Cost-to-Go Function Generating Networks for High Dimensional Motion Planning00.342021
Fast Motion Understanding with Spatiotemporal Neural Networks and Dynamic Vision Sensors00.342021
AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection10.362021
Reward Prediction Error as an Exploration Objective in Deep RL00.342020
Acoustic collision detection and localization for robot manipulators10.362020
Learning to Generate Cost-to-Go Functions for Efficient Motion Planning.00.342020
Higher Order Function Networks for View Planning and Multi-View Reconstruction00.342020
Higher-Order Function Networks for Learning Composable 3D Object Representations00.342020
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies.00.342019
Bayesian optimistic Kullback–Leibler exploration00.342019
Pixels To Plans: Learning Non-Prehensile Manipulation By Imitating A Planner00.342019
Probabilistically Safe Corridors to Guide Sampling-Based Motion Planning00.342019
RoboCup: A Treasure Trove of Rich Diversity for Research Issues and Interdisciplinary Connections [TC Spotlight]00.342019
QXplore: Q-learning Exploration by Maximizing Temporal Difference Error.00.342019
Learning Optimal Resource Allocations in Wireless Systems.210.762019
Surges of collective human activity emerge from simple pairwise correlations.00.342018
Minimal Construct: Efficient Shortest Path Finding For Mobile Robots In Polygonal Maps00.342018
Fluid Dynamic Models for Bhattacharyya-Based Discriminant Analysis.00.342018
U-Net for MAV-based Penstock Inspection: an Investigation of Focal Loss in Multi-class Segmentation for Corrosion Identification.00.342018
Efficient Sampling With Q-Learning To Guide Rapidly Exploring Random Trees00.342018
Approximating Explicit Model Predictive Control Using Constrained Neural Networks00.342018
Bayesian Q-learning with Assumed Density Filtering.00.342018
Maximizing Activity in Ising Networks via the TAP Approximation.10.362018
Artificial Invariant Subspace for Humanoid Robot Balancing in Locomotion00.342018
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients.10.352018
Learning Implicit Sampling Distributions For Motion Planning40.392018
Nearest Neighbor Density Functional Estimation From Inverse Laplace Transform00.342018
Generative Local Metric Learning for Kernel Regression.10.342017
Adaptive motion planning with high-dimensional mixture models.00.342017
Neural Network Memory Architectures for Autonomous Robot Navigation.20.412017
End-to-End Navigation in Unknown Environments using Neural Networks.00.342017
Classification and Geometry of General Perceptual Manifolds.20.402017
Memory Augmented Control Networks.150.632017
Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution.00.342016
Learning high-dimensional Mixture Models for fast collision detection in Rapidly-Exploring Random Trees80.562016
Efficient Neural Codes under Metabolic Constraints.00.342016
Adaptive Field Detection and Localization in Robot Soccer.00.342016
Efficient Neural Codes That Minimize Lp Reconstruction Error.00.342016
Toward a Science of Autonomy for Physical Systems: Transportation.00.342016
Whole-Body Balancing Walk Controller For Position Controlled Humanoid Robots20.422016
Belief flows for robust online learning00.342015
Team THOR's Entry in the DARPA Robotics Challenge Trials 2013.110.752015
Reactive bandits with attitude.20.382015
Causal reasoning in a prediction task with hidden causes.00.342015
Modular low-cost humanoid platform for disaster response30.502014
THOR-OP humanoid robot for DARPA Robotics Challenge Trials 201300.342014
Robocup 2014 Humanoid Adultsize League Winner00.342014
Estimating manipulability of unknown obstacles for navigation in indoor environments00.342014
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