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Brown Robotics Talks consists of BigAI talks and lab talks (CIT 115). From spring 2024, this website is created to track both talk series. All confirmed schedule will be posted, together with recordings of past talks (you'll need a Brown account to access the recordings).

Schedule for Fall 2024

Date Talk Speaker
10/11 Learning Interpretable Models for Autonomous Assessment of Taskable AI Systems [recording][abstract] Pulkit Verma
10/18 What Foundation Models Can and Cannot Do for Bringing Helpful Robotic Assistants into Our Lives [recording][abstract] Roberto Martin-Martin
10/25 Know your (model's) limits: Expanding robot capabilities by characterizing model deviation [recording][abstract] Alex LaGrassa
10/30 Empowering Novice Users of Robots through Accessible Information and Pre-trained Policies [recording][abstract] Isaac Sheidlower
11/01 Environment Curriculum Generation via Large Language Models [recording][abstract] Jason Ma
11/08 Robot Planning and Manipulation: Symbols, Geometry, and Feasibility [recording][abstract] Neil Dantam
11/15 Structured Learning for Planning and World Modeling in Complex Environments [recording][abstract] Linfeng Zhao
11/22 Rethinking Generalization through Exploration [recording][abstract] Yiding Jiang
12/6 Planning and Exploration for Autonomous Systems with Aquatic Applications [recording][abstract] Nare Karapetyan

Spring 2024

Date Talk Speaker
01/26 Toward Full-Stack Reliable Robot Learning for Autonomy and Interaction [abstract][recording] Glen Chou
02/02 Deep Reinforcement Learning for Multi-Agent Interaction [abstract][recording] Stefano V. Albrecht
02/09 Object-level Planning: Bridging the Gap between Human Knowledge and Task and Motion Planning [abstract][recording] David Paulius
03/01 Towards Interactive Task and Motion Imitation [abstract][recording] Felix Yanwei Wang
03/08 Towards Composable Scene Representations in Robotics and Vision [abstract][recording] Ondrej Biza
04/19 Building General-Purpose Robots with Integrated Learning and Planning [abstract][recording] Jiayuan Mao
04/26 Experiment Planning with Function Approximation [abstract][recording] Aldo Pacchiano