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20122026
most citedMathematical Models of Adaptation in Human-Robot Collaboration

21 citations · 140 across the 43 of their papers we have counts for

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Showing 2017Show all

13 papers · 1 filter

cs.RO2017

Bayesian Active Edge Evaluation on Expensive Graphs

Sanjiban Choudhury, Siddhartha Srinivasa, Sebastian Scherer

Robots operate in environments with varying implicit structure. For instance, a helicopter flying over terrain encounters a very different arrangement of obstacles than a robotic a…

cs.RO20172 cited

Anytime Motion Planning on Large Dense Roadmaps with Expensive Edge Evaluations

Shushman Choudhury, Oren Salzman, Sanjiban Choudhury +2

We propose an algorithmic framework for efficient anytime motion planning on large dense geometric roadmaps, in domains where collision checks and therefore edge evaluations are co…

cs.RO20172 cited

Generalizing Informed Sampling for Asymptotically Optimal Sampling-based Kinodynamic Planning via Markov Chain Monte Carlo

Daqing Yi, Rohan Thakker, Cole Gulino +2

Asymptotically-optimal motion planners such as RRT* have been shown to incrementally approximate the shortest path between start and goal states. Once an initial solution is found,…

cs.RO20173 cited

Hybrid DDP in Clutter (CHDDP): Trajectory Optimization for Hybrid Dynamical System in Cluttered Environments

Shushman Choudhury, Yifan Hou, Gilwoo Lee +1

We present an algorithm for obtaining an optimal control policy for hybrid dynamical systems in cluttered environments. To the best of our knowledge, this is the first attempt to h…

cs.RO2017

The Provable Virtue of Laziness in Motion Planning

Nika Haghtalab, Simon Mackenzie, Ariel D. Procaccia +2

The Lazy Shortest Path (LazySP) class consists of motion-planning algorithms that only evaluate edges along shortest paths between the source and target. These algorithms were desi…

cs.RO20178 cited

Unsupervised Learning for Nonlinear PieceWise Smooth Hybrid Systems

Gilwoo Lee, Zita Marinho, Aaron M. Johnson +3

This paper introduces a novel system identification and tracking method for PieceWise Smooth (PWS) nonlinear stochastic hybrid systems. We are able to correctly identify and track…