Brace yourselves for a wave of innovation and excellence as Figueroa Robotics Lab emerges victorious at IEEE RAS ICRA 2024. With a stellar performance, the lab proudly announces the acceptance of all five submitted papers at this prestigious event!

1. Paper 1: Towards Feasible Dynamic Grasping: Leveraging Gaussian Process Distance Field, SE(3) Equivariance and Riemannian Mixture Models.
- Author: Ho Jin Choi (2nd year MEAM MS student)
- Video: Watch here: https://youtu.be/wjIVrwTzTOc?feature=shared

2. Paper 2: Constrained Passive Interaction Control: Leveraging Passivity and Safety for Robot Manipulators
- Authors: Zhiquan Zhang (2nd year ESE MS student), Tianyu Li (2nd year MEAM PhD)
- Video: Watch here: https://youtu.be/ogvzJXGhh8Q?feature=shared

3. Paper 3: Object Permanence Filters for Robust Tracking with Interactive Robots
- Authors: Shaoting Peng (2nd year ROBO MS student), Margaret X. Wang (MIT graduated UG student)
Co-advisor: Julie Shah (MIT)
- Video: Watch here: https://youtu.be/NjIyLm2vyog?feature=shared

4. Paper 4: Learning Complex Motion Plans using Neural ODEs with Safety and Stability Guarantees
- Authors: Farhad Nawaz (3rd year ESE PhD student), Tianyu Li (2nd year MEAM PhD)
Co-advisor: Nikolai Matni
- Project Website: Explore here: https://youtu.be/NjIyLm2vyog?feature=shared

5. Paper 5: On the Feasibility of EEG-based Motor Intention Detection for Real-Time Robot Assistive Control
- Authors: Ho Jin Choi (2nd year MEAM MS student), SATYAJEET DAS (2nd year ESE MS student), Shaoting Peng (2nd year ROBO MS student)
Co-advisor: Ruzena Bajcsy
- Video: Watch here: https://youtu.be/NFpO8_4gKWQ?feature=shared

With each paper representing significant strides in various facets of robotics, from dynamic grasping to real-time assistive control, Figueroa Robotics Lab proves its dedication to pushing the boundaries of safety, control, estimation, and learning methods for reactive collaborative human-aware robotic systems.

Join Figueroa Robotics Lab as they prepare to showcase their groundbreaking research on the global stage at IEEE RAS ICRA 2024.

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