Search Results for author:
Found 7 papers, 4 papers with code
InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions
In collaborative human-robot manipulation, a robot must predict human intents and adapt its actions accordingly to smoothly execute tasks.
ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting
Seamless human-robot manipulation in close proximity relies on accurate forecasts of human motion.
A Game-Theoretic Framework for Joint Forecasting and Planning
On the other hand, planning for worst-case motions leads to overtly conservative behavior and a "frozen robot".
Rationale-Guided Few-Shot Classification to Detect Abusive Language
We introduce two rationale-integrated BERT-based architectures (the RGFS models) and evaluate our systems over five different abusive language datasets, finding that in the few-shot classification setting, RGFS-based models outperform baseline models by about 7% in macro F1 scores and perform competitively to models finetuned on other source domains.
Optimal Multi-Agent Path Finding for Precedence Constrained Planning Tasks
We consider an extension to this problem, Precedence Constrained Multi-Agent Path Finding (PC-MAPF), wherein agents are assigned a sequence of planning tasks that contain precedence constraints between them.
indicnlp@kgp at DravidianLangTech-EACL2021: Offensive Language Identification in Dravidian Languages
The paper presents the submission of the team indicnlp@kgp to the EACL 2021 shared task "Offensive Language Identification in Dravidian Languages."
indicnlp@ kgp at DravidianLangTech-EACL2021: Offensive Language Identification in Dravidian Languages
The paper presents the submission of the team indicnlp@kgp to the EACL 2021 shared task "Offensive Language Identification in Dravidian Languages."
