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20132023
most citedSafe Reinforcement Learning Using Black-Box Reachability Analysis

31 citations · 55 across the 22 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.LG2022

A Deep Reinforcement Learning Approach to Rare Event Estimation

Anthony Corso, Kyu-Young Kim, Shubh Gupta +2

An important step in the design of autonomous systems is to evaluate the probability that a failure will occur. In safety-critical domains, the failure probability is extremely sma…

eess.SP2022

Binary sequence set optimization for CDMA applications via mixed-integer quadratic programming

Alan Yang, Tara Mina, Grace Gao

Finding sets of binary sequences with low auto- and cross-correlation properties is a hard combinatorial optimization problem with numerous applications, including multiple-input-m…

cs.RO2022★ 2 cited

PlaneSLAM: Plane-based LiDAR SLAM for Motion Planning in Structured 3D Environments

Adam Dai, Greg Lund, Grace Gao

LiDAR sensors are a powerful tool for robot simultaneous localization and mapping (SLAM) in unknown environments, but the raw point clouds they produce are dense, computationally e…

cs.RO2022★ 1 cited

Set-Valued Shadow Matching Using Zonotopes for 3-D Map-Aided GNSS Localization

Sriramya Bhamidipati, Shreyas Kousik, Grace Gao

Unlike many urban localization methods that return point-valued estimates, a set-valued representation enables robustness by ensuring that a continuum of possible positions obeys s…

cs.AI2022

Mosaic Zonotope Shadow Matching for Risk-Aware Autonomous Localization in Harsh Urban Environments

Daniel Neamati, Sriramya Bhamidipati, Grace Gao

Risk-aware urban localization with the Global Navigation Satellite System (GNSS) remains an unsolved problem with frequent misdetection of the user's street or side of the street.…

cs.RO2022★ 31 cited

Safe Reinforcement Learning Using Black-Box Reachability Analysis

Mahmoud Selim, Amr Alanwar, Shreyas Kousik +3

Reinforcement learning (RL) is capable of sophisticated motion planning and control for robots in uncertain environments. However, state-of-the-art deep RL approaches typically lac…

cs.RO2022★ 1 cited

A Case Study Analysis for Designing a Lunar Navigation Satellite System with Time-Transfer from Earth-GPS

Sriramya Bhamidipati, Tara Mina, Grace Gao

Recently, there has been a growing interest in the use of a SmallSat platform for the future Lunar Navigation Satellite System (LNSS) to allow for cost-effectiveness and rapid depl…