works on

From the 1 of 2.1k papers with an AI index.

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20052026
most citedBatch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

24.4k citations

Showing 2019 · cs.ROShow all

5 papers · 2 filters

cs.RO2019★ 15 cited

RoboCup 2019 AdultSize Winner NimbRo: Deep Learning Perception, In-Walk Kick, Push Recovery, and Team Play Capabilities

Diego Rodriguez, Hafez Farazi, Grzegorz Ficht +7

Individual and team capabilities are challenged every year by rule changes and the increasing performance of the soccer teams at RoboCup Humanoid League. For RoboCup 2019 in the Ad…

cs.RO2019★ 16 cited

Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer

Rae Jeong, Jackie Kay, Francesco Romano +6

Learning robotic control policies in the real world gives rise to challenges in data efficiency, safety, and controlling the initial condition of the system. On the other hand, sim…

cs.RO2019★ 9 cited

Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation

Rae Jeong, Yusuf Aytar, David Khosid +5

Collecting and automatically obtaining reward signals from real robotic visual data for the purposes of training reinforcement learning algorithms can be quite challenging and time…

cs.RO2019★ 10 cited

MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning

Bohan Wu, Iretiayo Akinola, Jacob Varley +1

Vision-based grasping systems typically adopt an open-loop execution of a planned grasp. This policy can fail due to many reasons, including ubiquitous calibration error. Recovery…

cs.RO2019★ 2 cited

MAVBench: Micro Aerial Vehicle Benchmarking

Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan +3

Unmanned Aerial Vehicles (UAVs) are getting closer to becoming ubiquitous in everyday life. Among them, Micro Aerial Vehicles (MAVs) have seen an outburst of attention recently, sp…