Collaborative Environment
Collaborative environments, encompassing human-human, human-robot, and human-AI interactions, are a burgeoning research area focused on optimizing efficiency, resilience, and adaptability in shared workspaces. Current research emphasizes developing novel algorithms and architectures, such as multi-agent reinforcement learning, generative AI for virtual environments, and federated learning for distributed systems, to improve coordination, communication, and adaptation to unforeseen events. These advancements hold significant implications for diverse fields, including industrial automation, software development, and human-computer interaction, by enhancing productivity, safety, and the overall effectiveness of collaborative tasks.
Papers
The Impact of Large Language Models on Open-source Innovation: Evidence from GitHub Copilot
Doron Yeverechyahu, Raveesh Mayya, Gal Oestreicher-Singer
Collaborating for Success: Optimizing System Efficiency and Resilience Under Agile Industrial Settings
Sunny Katyara, Suchita Sharma, Praveen Damacharla, Carlos Garcia Santiago, Francis O'Farrell, Philip Long