25 citations · 26 across the 5 of their papers we have counts for
5 papers
AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement
Shivam Singh, Karthik Swaminathan, Nabanita Dash +4
An embodied agent assisting humans is often asked to complete new tasks, and there may not be sufficient time or labeled examples to train the agent to perform these new tasks. Lar…
Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments
Raghav Arora, Shivam Singh, Karthik Swaminathan +6
Assistive agents performing household tasks such as making the bed or cooking breakfast often compute and execute actions that accomplish one task at a time. However, efficiency ca…
GPD: Guided Polynomial Diffusion for Motion Planning
Ajit Srikanth, Parth Mahanjan, Kallol Saha +6
Diffusion-based motion planners are becoming popular due to their well-established performance improvements, stemming from sample diversity and the ease of incorporating new constr…
Anticipate & Collab: Data-driven Task Anticipation and Knowledge-driven Planning for Human-robot Collaboration
Shivam Singh, Karthik Swaminathan, Raghav Arora +6
An agent assisting humans in daily living activities can collaborate more effectively by anticipating upcoming tasks. Data-driven methods represent the state of the art in task ant…
EDMP: Ensemble-of-costs-guided Diffusion for Motion Planning
Kallol Saha, Vishal Mandadi, Jayaram Reddy +5
Classical motion planning for robotic manipulation includes a set of general algorithms that aim to minimize a scene-specific cost of executing a given plan. This approach offers r…