3 citations · 3 across the 6 of their papers we have counts for
6 papers
SkillWrapper: Generative Predicate Invention for Task-level Robot Planning
Ziyi Yang, Benned Hedegaard, Ahmed Jaafar +8
Generalizing from individual skill executions to long-horizon tasks is a core challenge in building autonomous robots. A promising direction is learning high-level, symbolic repres…
Scaling Laws for State Dynamics in Large Language Models
Jacob X Li, Shreyas S Raman, Jessica Wan +2
Large Language Models (LLMs) are increasingly used in tasks requiring internal state tracking, yet their ability to model state transition dynamics remains poorly understood. We ev…
λ: A Benchmark for Data-Efficiency in Long-Horizon Indoor Mobile Manipulation Robotics
Ahmed Jaafar, Shreyas Sundara Raman, Sudarshan Harithas +7
Learning to execute long-horizon mobile manipulation tasks is crucial for advancing robotics in household and workplace settings. However, current approaches are typically data-ine…
Categorizing the Visual Environment and Analyzing the Visual Attention of Dogs
Shreyas Sundara Raman, Madeline H. Pelgrim, Daphna Buchsbaum +1
Dogs have a unique evolutionary relationship with humans and serve many important roles e.g. search and rescue, blind assistance, emotional support. However, few datasets exist to…
Plug in the Safety Chip: Enforcing Constraints for LLM-driven Robot Agents
Ziyi Yang, Shreyas S. Raman, Ankit Shah +1
Recent advancements in large language models (LLMs) have enabled a new research domain, LLM agents, for solving robotics and planning tasks by leveraging the world knowledge and ge…
Tiered Reward: Designing Rewards for Specification and Fast Learning of Desired Behavior
Zhiyuan Zhou, Shreyas Sundara Raman, Henry Sowerby +1
Reinforcement-learning agents seek to maximize a reward signal through environmental interactions. As humans, our job in the learning process is to design reward functions to expre…