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20112025
most citedDriving in Dense Traffic with Model-Free Reinforcement Learning

86 citations · 251 across the 40 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

cs.RO2020

Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments

Fahad Islam, Chris Paxton, Clemens Eppner +3

In many applications, including logistics and manufacturing, robot manipulators operate in semi-structured environments alongside humans or other robots. These environments are lar…

cs.RO2020

Search-based Planning for Active Sensing in Goal-Directed Coverage Tasks

Tushar Kusnur, Dhruv Mauria Saxena, Maxim Likhachev

Path planning for robotic coverage is the task of determining a collision-free robot trajectory that observes all points of interest in an environment. Robots employed for such tas…

cs.RO2020

Reactive Long Horizon Task Execution via Visual Skill and Precondition Models

Shohin Mukherjee, Chris Paxton, Arsalan Mousavian +3

Zero-shot execution of unseen robotic tasks is important to allowing robots to perform a wide variety of tasks in human environments, but collecting the amounts of data necessary t…

cs.RO2020

CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models

Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev

Given access to accurate dynamical models, modern planning approaches are effective in computing feasible and optimal plans for repetitive robotic tasks. However, it is difficult t…

cs.CV2020

PERCH 2.0 : Fast and Accurate GPU-based Perception via Search for Object Pose Estimation

Aditya Agarwal, Yupeng Han, Maxim Likhachev

Pose estimation of known objects is fundamental to tasks such as robotic grasping and manipulation. The need for reliable grasping imposes stringent accuracy requirements on pose e…

cs.RO2020

Multi-Resolution A*

Wei Du, Fahad Islam, Maxim Likhachev

Heuristic search-based planning techniques are commonly used for motion planning on discretized spaces. The performance of these algorithms is heavily affected by the resolution at…