Fetching the paper…
Reading the bibliography…
A critical goal of autonomy and artificial intelligence is enabling autonomous robots to rapidly adapt in dynamic and uncertain environments.
“Liapunov redesign of model reference adaptive control systems”
Patric Parks · 1966
Earlier work this paper cites.
“Parameter identification of robot dynamics”
Pradeep Khosla and Takeo Kanade · 1985
Earlier work this paper cites.
“Real-time obstacle avoidance for manipulators and mobile robots”
Oussama Khatib · 1986
Earlier work this paper cites.
“On the adaptive control of robot manipulators”
Jean-Jacques Slotine and Weiping Li · 1987
Earlier work this paper cites.
“Applied nonlinear control”
Jean-Jacques Slotine and Weiping Li · 1991
Earlier work this paper cites.
“Robust adaptive control”
Petros Ioannou and Jing Sun · 1996
Earlier work this paper cites.
“Reinforcement learning: A survey”
Leslie Kaelbling, Michael Littman and Andrew Moore · 1996
Earlier work this paper cites.
“Linear models of nonlinear systems”
Martin Enqvist · 2005
Earlier work this paper cites.
“Robust adaptive control”
Eugene Lavretsky and Kevin Wise · 2012
Earlier work this paper cites.
“Mujoco: A physics engine for model-based control”
Emanuel Todorov, Tom Erez and Yuval Tassa · 2012
Earlier work this paper cites.
“Adaptive control”
Karl Åström and Björn Wittenmark · 2013
Earlier work this paper cites.
“Reactive sliding-mode algorithm for collision avoidance in robotic systems”
Luis Gracia, Fabricio Garelli and Antonio Sala · 2013
Earlier work this paper cites.
“Control barrier function based quadratic programs with application to adaptive cruise control”
Aaron Ames, Jessy Grizzle and Paulo Tabuada · 2014
Earlier work this paper cites.
“Control in a safe set: Addressing safety in human-robot interactions”
Changliu Liu and Masayoshi Tomizuka · 2014
Earlier work this paper cites.
“Trust region policy optimization”
John Schulman et al · 2015
Earlier work this paper cites.
“Control barrier function based quadratic programs for safety critical systems”
Aaron Ames, Xiangru Xu, Jessy Grizzle and Paulo Tabuada · 2016
Cited alongside, same era.
“Constrained policy optimization”
Joshua Achiam, David Held, Aviv Tamar and Pieter Abbeel · 2017
Cited alongside, same era.
“Proximal policy optimization algorithms”
John Schulman et al · 2017
Cited alongside, same era.
“Preparing for the unknown: Learning a universal policy with online system identification”
Wenhao Yu, Jie Tan, C Liu and Greg Turk · 2017
Cited alongside, same era.
“Discrete control barrier functions for safety-critical control of discrete systems with application to bipedal robot navigation.”
Ayush Agrawal and Koushil Sreenath · 2017
Cited alongside, same era.
“Benchmarking Safe Exploration in Deep Reinforcement Learning”, 2019
Alex Ray, Joshua Achiam and Dario Amodei · 2019
Later among the works it cites.
“Sim-to-real transfer in deep reinforcement learning for robotics: a survey”
Wenshuai Zhao, Jorgeña Queralta and Tomi Westerlund · 2020
Later among the works it cites.
“Learning quadrupedal locomotion over challenging terrain”
Joonho Lee et al · 2020
Later among the works it cites.
“Learning agile robotic locomotion skills by imitating animals”
Xue Peng et al · 2020
Later among the works it cites.
“Robust regression for safe exploration in control”
Anqi Liu et al · 2020
Later among the works it cites.
“Performance, precision, and payloads: Adaptive nonlinear mpc for quadrotors”
Drew Hanover et al · 2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
“Safe model-based reinforcement learning with stability guarantees”
Felix Berkenkamp, Matteo Turchetta, Angela Schoellig and Andreas Krause · 2017
Cited alongside, same era.
“Sim-to-real: Learning agile locomotion for quadruped robots”
Jie Tan et al · 2018
Cited alongside, same era.
“Accelerated primal-dual policy optimization for safe reinforcement learning”
Qingkai Liang, Fanyu Que and Eytan Modiano · 2018
Cited alongside, same era.
“Reward constrained policy optimization”
Chen Tessler, Daniel Mankowitz and Shie Mannor · 2018
Cited alongside, same era.
“Safe exploration in continuous action spaces”
Gal Dalal et al · 2018
Cited alongside, same era.
“Learning to adapt in dynamic, real-world environments through meta-reinforcement learning”
Anusha Nagabandi et al · 2018
Cited alongside, same era.
“Learning agile and dynamic motor skills for legged robots”
Jemin Hwangbo et al · 2019
Cited alongside, same era.
Later among the works it cites.
“Rma: Rapid motor adaptation for legged robots”
Ashish Kumar, Zipeng Fu, Deepak Pathak and Jitendra Malik · 2021
Later among the works it cites.
“Model-free safe control for zero-violation reinforcement learning”
Weiye Zhao, Tairan He and Changliu Liu · 2021
Later among the works it cites.
“Mesa: Offline meta-rl for safe adaptation and fault tolerance”
Michael Luo et al · 2021
Later among the works it cites.
“Meta-adaptive nonlinear control: Theory and algorithms”
Guanya Shi et al · 2021
Later among the works it cites.
“Neural-fly enables rapid learning for agile flight in strong winds”
Michael O’Connell et al · 2022
Later among the works it cites.
“Reinforcement learning with automated auxiliary loss search”
Tairan He et al · 2022
Later among the works it cites.
“DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control”
Kevin Huang et al · 2023
Closest in time.
“State-wise safe reinforcement learning: A survey”
Weiye Zhao et al · 2023
Closest in time.