Robotics Research & Academic Applications

Academic institutions are redefining how robotics and AI are taught through interactive, research-driven learning.  With affordable pricing while driving the best performance given their form factors and the open source robotics community, Petoi open source programmable robot dog Bittle and robot cat Nybble have supported studies in locomotion, perception, physical AI, and intelligent systems, enabling students and researchers to experiment, prototype, and innovate in real-world environments. 

Petoi is excited to share their work in the following categories.

Bio-Inspired Locomotion & Gaits

Focus on using bio-mimetic neural networks, like Central Pattern Generators (CPGs), and reinforcement learning to generate efficient, natural robotic movements such as walking, bounding, and fall recovery
Lisa John

Chong Zhang, Wanming Yu, Zhibin Li

Accessibility-Based Clustering for Efficient Learning of Locomotion Skills

Jane Doe

Sabrina M. Neuman, Radhika Ghosal, Thomas Bourgeat, Brian Plancher, Vijay Janapa Reddi

RoboShape: Using Topology Patterns to Scalably and Flexibly Deploy Accelerators Across Robots

Cartherin Forres

Vijay Shankaran Vivekanand, Samarth Chopra, Shahin Hashemkhani, Rajkumar Kubendran

Robot Locomotion through Tunable Bursting Rhythms using Efficient Bio-mimetic Neural Networks

Lisa John

Vijay Shankaran Vivekanand, Shahin Hashemkhani, Shanmuga Venkatachalam, Rajkumar Kubendran

Robot Locomotion Control Using Central Pattern Generator with Non-linear Bio-mimetic Neurons

Jane Doe

Jiayu Ding, Zhenyu Gan, Xulin Chen, Garrett E. Katz

Symmetry-Guided Reinforcement Learning

Cartherin Forres

Shahin Hashemkhani, Vijay Shankaran Vivekanand, Samarth Chopra, Rajkumar Kubendran

Toward autonomous event-based sensorimotor control with supervised gait learning and obstacle avoidance

Edge AI & Autonomous Systems

Center on deploying efficient machine learning (TinyML) and autonomous control software directly onto resource-constrained robots for complex, real-world tasks like semantic navigation and structural health monitoring
Lisa John

Jason Jabbour, Sabrina M. Neuman, Mark Mazumder, Colby Banbury, Shvetank Prakash, Brian Plancher, Vijay Janapa Reddi

Closing the Sim-to-Real Gap for Ultra-Low-Cost, Resource-Constrained, Quadruped Robot Platforms

Jane Doe

Héctor Bringas López

CONTROL DE UN ROBOT CUADRÚPEDO DESDE M2OS

Cartherin Forres

K. Smarsly, M. Worm, K. Dragos, J. Peralta, M. Wenner, O. Hahn

Mobile structural health monitoring using quadruped robots

Lisa John

Bruno ZahirovićBruno Zahirović

Mobile Agent Learning in a Simulation Environment Using Supported Learning and Applications in A Real Environment - Sim-to-real Reinforcement Learning with Nybble Robot Cat

Jane Doe

Jesse Barkley, Abraham George, Amir Barati Farimani

Semantic Intelligence: Integrating GPT-4 with A* Planning in Low-Cost Robotics

Cartherin Forres

K. Smarsly, M. Worm, K. Dragos, J. Peralta, M. Wenner, O. Hahn

Mobile structural health monitoring using quadruped robots

Robotics Education & Accessibility

Highlight the use of ultra-low-cost, open-source hardware and global educational networks to make hands-on robotics and machine learning accessible to a wider audience
Lisa John

Gabriel Mourad

Highlights the use of ultra-low-cost, open-source hardware (like the Petoi Bittle) and global educational networks to make hands-on robotics and machine learning accessible to a wider audience

Jane Doe

Sabrina M. Neuman, Brian Plancher, Bardienus P. Duisterhof, Srivatsan Krishnan, Colby Banbury, et al.

Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots

Cartherin Forres

Brian Plancher

Tiny Robot Learning: Expanding Access to Edge ML as a Step Towards Accessible Robotics

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