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Next Generation

Robotics Laboratory

Our research encompasses Artificial Intelligence, Machine Learning, and Robotics with a focus on autonomous systems, multi-agent systems, and swarm robotics.

Welcome

Welcome to the University of Minnesota Next Generation Robotics Laboratory. Our mission is to advance the field of robotics and artificial intelligence through cutting-edge research, interdisciplinary collaboration, and dedicated education.

Our team comprises passionate researchers and students who are committed to exploring autonomous systems, human-robot interaction, and Natural Language Processing. Our projects aim to create intelligent solutions that enhance human capabilities and address real-world challenges. We aim to develop AI systems that work with humans, making tasks safer and more streamlined. 

Research Areas

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Artificial Intelligence

Our research focuses on machine learning, multi-agent systems, and reinforcement learning.

Robotics

Our research includes autonomous systems, human-robot interaction, and multi-agent systems to create efficient and reliable robotic solutions.

Natural Language Processing

Our Natural Language Processing research aims to create intelligent systems capable of understanding and generating human language. 

Current Projects

Multi-Agent Path Finding (MAPF) 

Description: Collision-free path planning using auction-like mechanisms on a time extended graph. Currently, exploring integer programming approaches to find optimal paths. 

Multi Robot Cooperation and Collaboration

Applying Insights from Nature in Problems Relevant to Multi-robot Cooperation and Collaboration with focus on real-time Collaboration and Learning in Search Environments for Multi-robot Systems through Dynamic Evolutionary Algorithm and Bayesian Intuition and Bio-inspired Game Theoretic Perspectives

Federated Learning

Federated learning for traffic flow prediction using flower framework. 

Planetary Drill Fault Detection and Mitigation

Fault detection and autonomy for the TRIDENT drill using a Markov Decision Process and Reinforcement Learning to avoid faults in high-risk planetary environments.

News

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Maria Gini Wins IJCAI Donald E. Walker Distinguished Service Award

Department of Computer Science & Engineering Professor Maria Gini has earned the International Joint Conferences on Artificial Intelligence Organization (IJCAI) Donald E. Walker Distinguished Service Award. She was recognized for her substantial contributions, as well as her extensive service to the field of artificial intelligence (AI) throughout her career.

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AI in Climate-Smart Agriculture and Forestry

The AI-CLIMATE Institute at the University of Minnesota aims to enhance climate-smart agriculture and forestry practices using artificial intelligence. This includes developing AI-powered tools for carbon measurement and decision support, which are crucial for effective land management and combating climate change.

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AI-CLIMATE Institute

At the University of Minnesota, the AI-CLIMATE Institute leverages artificial intelligence to advance sustainable practices in agriculture and forestry, aiming to enhance carbon management and decision-making to mitigate the impacts of climate change.

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ACM/SIGAI Autonomous Agents Research Award 2022

Professor Maria Gini was honored with the 2022 ACM/SIGAI Autonomous Agents Research Award for her extensive contributions to robotics and multi-agent systems. Her work bridges high-level programming and practical applications, significantly advancing AI in varied environments like warehouses and hospitals.

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Leveling the Field in Computing Research

Professors Maria Gini and Shana Watters are enhancing access to computer science research, and fostering diversity through innovative educational programs like the exploreCSR initiative, which introduces undergraduate students to research opportunities.

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