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Robust Field Autonomy Lab

Robust Field Autonomy Lab Aligned, robust and interactive autonomy lab at the university of utah about us we're a group of ai researchers working on building and studying the next generation of ai systems with a focus on human robot interaction, human in the loop reinforcement learning, and ai safety and robustness. The interactive & emergent autonomy lab is part of the northwestern university center for robotics and biosystems. our research focuses on computational methods in data driven control, information theory in physical systems, and embodied intelligence.

Robust Field Autonomy Lab

Robust Field Autonomy Lab I lead the aligned, robust, and interactive autonomy (aria) lab at the university of utah, where we are actively developing the next generation of algorithms for aligning robot representations with humans, robust and reliable reinforcement learning from human feedback, surgical robot automation, intelligent exoskeletons, and algorithms for. Sair lab we research spatial ai and robotics see our team see our research about us we are proud to be part of the computer science and engineering (cse), university at buffalo (ub). at the intersection of perception, spatial reasoning, and decision making, our long term research goal is to endow mobile robots with human like autonomy. Welcome to our research page! our lab is focused on advancing the fields of human centered ai and human robot interaction, with specific emphasis on reward learning, assistive and medical robotics, safety and robustness, and multi agent systems. My lab's research spans the areas of human robot interaction, reward and preference learning, human in the loop machine learning, and ai safety. i am interested in applications in assistive, rehab, and surgical robotics, personal ai assistants, swarm robotics, and autonomous driving.

Robust Field Autonomy Lab · GitHub

Robust Field Autonomy Lab · GitHub Welcome to our research page! our lab is focused on advancing the fields of human centered ai and human robot interaction, with specific emphasis on reward learning, assistive and medical robotics, safety and robustness, and multi agent systems. My lab's research spans the areas of human robot interaction, reward and preference learning, human in the loop machine learning, and ai safety. i am interested in applications in assistive, rehab, and surgical robotics, personal ai assistants, swarm robotics, and autonomous driving. Our research operates at the dynamic intersection of game theory, multi agent systems, control and optimization, and machine learning. by weaving these disciplines together, we aim to develop robust, efficient, and sustainable technologies that transform the intelligent transportation systems of tomorrow. Midday science cafe: harnessing machine learning for science watch on efficient and robust learning of human intent. talk by dr. daniel brown. Autonomy alignment with human feedback: our goal is to make the acquisition of robot autonomy as easy and efficient as possible, such as robot learn from human’s sparse demonstration, directional physical correction, preferences. Towards a gaze driven assistive neck exoskeleton via virtual reality data collection jordan thompson, haohan zhang and daniel s. brown hri workshop on virtual, augmented, and mixed reality for human robot interactions, march 2023.

Home | Align Robust Interactive Autonomy Lab

Home | Align Robust Interactive Autonomy Lab Our research operates at the dynamic intersection of game theory, multi agent systems, control and optimization, and machine learning. by weaving these disciplines together, we aim to develop robust, efficient, and sustainable technologies that transform the intelligent transportation systems of tomorrow. Midday science cafe: harnessing machine learning for science watch on efficient and robust learning of human intent. talk by dr. daniel brown. Autonomy alignment with human feedback: our goal is to make the acquisition of robot autonomy as easy and efficient as possible, such as robot learn from human’s sparse demonstration, directional physical correction, preferences. Towards a gaze driven assistive neck exoskeleton via virtual reality data collection jordan thompson, haohan zhang and daniel s. brown hri workshop on virtual, augmented, and mixed reality for human robot interactions, march 2023.

Human-Machine Teaming with Robots at MIT's Marine Autonomy Lab