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 2021 · cs.ROShow all

10 papers · 2 filters

cs.RO2021★ 90 cited

Optimal Vehicle Path Planning Using Quadratic Optimization for Baidu Apollo Open Platform

Yajia Zhang, Hongyi Sun, Jinyun Zhou +3

Path planning is a key component in motion planning for autonomous vehicles. A path specifies the geometrical shape that the vehicle will travel, thus, it is critical to safe and c…

cs.RO2021★ 1 cited

Evaluating model-based planning and planner amortization for continuous control

Arunkumar Byravan, Leonard Hasenclever, Piotr Trochim +8

There is a widespread intuition that model-based control methods should be able to surpass the data efficiency of model-free approaches. In this paper we attempt to evaluate this i…

cs.RO2021★ 2 cited

Learning to Navigate Sidewalks in Outdoor Environments

Maks Sorokin, Jie Tan, C. Karen Liu +1

Outdoor navigation on sidewalks in urban environments is the key technology behind important human assistive applications, such as last-mile delivery or neighborhood patrol. This p…

cs.RO2021

Learning to See before Learning to Act: Visual Pre-training for Manipulation

Lin Yen-Chen, Andy Zeng, Shuran Song +2

Does having visual priors (e.g. the ability to detect objects) facilitate learning to perform vision-based manipulation (e.g. picking up objects)? We study this problem under the f…

cs.RO2021★ 21 cited

Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation

C. Daniel Freeman, Erik Frey, Anton Raichuk +3

We present Brax, an open source library for rigid body simulation with a focus on performance and parallelism on accelerators, written in JAX. We present results on a suite of task…

cs.RO2021

A Robustness Analysis of Inverse Optimal Control of Bipedal Walking

John R. Rebula, Stefan Schaal, James Finley +1

Cost functions have the potential to provide compact and understandable generalizations of motion. The goal of Inverse Optimal Control (IOC) is to analyze an observed behavior whic…