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Christian Hubicki

Georgia Institute of Technology · US
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Area of research
Biomedical Engineering · Aerospace Engineering
Research interest
Research topics from publications: Mitigating memory effects during undulatory locomotion on hysteretic materials; Do Intermediate Gaits Matter When Rapidly Accelerating?; Every Hop is an Opportunity: Quickly Classifying and Adapting to Terrain During Targeted Hopping; Fast, Versatile, and Open-loop Stable Running Behaviors with Proprioceptive-only Sensing using Model-based Optimization; Bipedial Locomotion Up Sandy Slopes: Systematic Experiments Using Zero Moment Point Methods; Trajectory Optimization Formulation with Smooth Analytical Derivatives for Track-leg and Wheel-leg Ground Robots; Online Gait Optimization for Running in Resistive Media; Lessons Learned from two Iterations of LLAMA, an Electrically Powered, Dynamic Quadruped Robot. Representative work: While terrestrial locomotors often contend with permanently deformable substrates like sand, soil, and mud, principles of motion on such materials are lacking. We study the desert-specialist shovel-nosed snake traversing a model sand and find body inertia is negligible despite rapid transit and speed dependent granular reaction forces. New surface resistive force theory (RFT) calculation reveals how wave shape in these snakes minimizes material memory effects and optimizes escape performance given physiological power limitations. RFT explains the morphology and waveform-dependent performance of a diversity of non-sand-specialist snakes but overestimates the capability of those snakes which s Transient locomotion is still poorly understood in terms of planning and implementation on robotic platforms, with most research concentrated on steady-state motion. In this letter, we investigate optimal rapid acceleration (positive and negative) maneuvers of a planar numerical quadruped and biped robot. The question we ask is whether legged robots should transition through discrete, intermediate gaits (walking to trot to bound) or plan a direct transition to the top-speed gait. We present numerical evidence supporting the energetic optimality of transitioning to a desired gait without intermediate gait transitions. Trajectories were generated from rest to steady state and vice versa. Two c
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Recent publications

Trajectory Optimization Formulation with Smooth Analytical Derivatives for Track-leg and Wheel-leg Ground Robots
2022 International Conference on Robotics and Automation (ICRA) 2022cited by 3position: lastdoi
Online Gait Optimization for Running in Resistive Media
2022cited by 1position: middledoi
Lessons Learned from two Iterations of LLAMA, an Electrically Powered, Dynamic Quadruped Robot
Field Robotics 2022cited by 0position: middledoi
Mitigating memory effects during undulatory locomotion on hysteretic materials
eLife 2020cited by 40position: middledoi
Fast, Versatile, and Open-loop Stable Running Behaviors with Proprioceptive-only Sensing using Model-based Optimization
2020cited by 5position: middledoi
Do Intermediate Gaits Matter When Rapidly Accelerating?
IEEE Robotics and Automation Letters 2019cited by 12position: middledoi
Every Hop is an Opportunity: Quickly Classifying and Adapting to Terrain During Targeted Hopping
2019cited by 9position: middledoi
Bipedial Locomotion Up Sandy Slopes: Systematic Experiments Using Zero Moment Point Methods
2018cited by 3position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Jonathan E. Clark · The Ohio State University3 papers (2020–2022) · 2 papers (2022–2022)Aaron D. Ames · California Institute of Technology2 papers (2018–2019)Jason D. White · Florida State University2 papers (2022–2022)Daniel I. Goldman · Thomas Jefferson University2 papers (2018–2020)John Nicholson · Florida State University2 papers (2020–2022)Patricio A. Vela · Georgia Institute of Technology1 papers (2019–2019)Shashank Agarwal · Massachusetts Institute of Technology1 papers (2020–2020)Charles A. Young · Florida State University1 papers (2020–2020)Joseph R. Mendelson · Georgia Institute of Technology1 papers (2020–2020) · 1 papers (2022–2022)Jonathan Gosyne · Georgia Institute of Technology1 papers (2018–2018) · 1 papers (2022–2022)Perrin Schiebel · Georgia Institute of Technology1 papers (2020–2020) · 1 papers (2022–2022)Alexander H. Chang · Georgia Institute of Technology1 papers (2019–2019)Sisir Karumanchi · Massachusetts Institute of Technology1 papers (2022–2022)Wei Gao · Florida State University1 papers (2020–2020)Dilip R. Patel · Michigan State University1 papers (2022–2022)Kelimar Diaz · Georgia Institute of Technology1 papers (2020–2020)
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