Muralidharan Mohanakrishnan — accepted AI-conference papers

2023

Meta-Learning-Based Optimal Control for Soft Robotic Manipulators to Interact with Unknown Environments

Zhiqiang Tang, Peiyi Wang, Wenci Xin, Zhexin Xie, Longxin Kan, Muralidharan Mohanakrishnan +1

ICRA 2023poster

Safe and efficient robot-environment interaction is a critical but challenging problem as robots are being increasingly employed to operate in unstructured and unpredictable environments. Soft robots are inherently compliant to safely interact with environments but their high nonlinearity exacerbate…

Cited by 12 Source ↗Scholar ↗

2023

Soft Robotic Arm With Extensible Stiffening Layer

Zhexin Xie, Muralidharan Mohanakrishnan, Peiyi Wang, Jiaqi Liu, Wenci Xin, Zhiqiang Tang +2

RA-L 2023

When talking about soft robots, softness is considered the most important feature, which brings dexterity and safety in interactive tasks with humans and environments. Such softness sometimes limits the real application of soft robots because load capability and rigidity are widely needed on many oc

Cited by 17 Source ↗Scholar ↗