Rochester Institute of Technology
🇺🇸 US
Papers
225
Total Citations
7,887
H-Index
32
Researchers
215
About
Rochester Institute of Technology (RIT) has established itself as a dynamic hub for interdisciplinary research at the intersection of artificial intelligence, robotics, and human-centered computing. With a research portfolio spanning continual machine learning, human-robot interaction, robotic manipulation, and medical robotics, RIT consistently produces work that bridges foundational theory with real-world application. RIT's most significant contribution to the global AI community is its landmark 2019 review on continual lifelong learning with neural networks, which has amassed nearly 3,000 citations and become an essential reference for researchers tackling catastrophic forgetting and adaptive learning systems. Complementing this, RIT researchers have made substantial advances in robotic grasp detection using deep convolutional neural networks, streaming learning with memory-efficient experience replay, and novelty-seeking evolution strategies for deep reinforcement learning — collectively shaping how robots learn and adapt in unstructured environments. In human-robot collaboration, RIT has produced influential surveys and foundational frameworks examining awareness, intelligence, and compliance in industrial settings, alongside pioneering work on ethical challenges like dishonest anthropomorphism. The institute also contributes meaningfully to surgical robotics, with novel architectures for instrument segmentation in laparoscopic and endoscopic procedures. Broader societal impact is evident through accessibility-focused work promoting computing education for students with visual impairments and research exploring older adults' experiences with AI-enabled technologies. RIT's reach further extends to cable-driven robot modeling, self-reconfiguring modular robotics, and even remote sensing applications through Landsat satellite characterization. For prospective students and collaborators, RIT offers a vibrant, applied-research environment where cutting-edge robotics and AI research is pursued with genuine social purpose and interdisciplinary ambition.
Research Focus
Key Achievements
Top Papers
- 1Continual lifelong learning with neural networks: A review2,977 citations · 2019
- 2Robotic grasp detection using deep convolutional neural networks543 citations · 2017
- 3Re-Engineering Humanity322 citations · 2018
- 4
- 5
- 6Memory Efficient Experience Replay for Streaming Learning201 citations · 2019
- 7
- 8
- 9From Robots to Animals: Virtual Fences for Controlling Cattle105 citations · 2006
- 10
Faculty & Researchers
…