1 code implementation • 17 Dec 2016 • Snehasis Banerjee, Tanushyam Chattopadhyay, Swagata Biswas, Rohan Banerjee, Anirban Dutta Choudhury, Arpan Pal, Utpal Garain
In this paper, a Wide Learning architecture is proposed that attempts to automate the feature engineering portion of the machine learning (ML) pipeline.
no code implementations • 13 Jul 2017 • Snehasis Banerjee, Tanushyam Chattopadhyay, Arpan Pal, Utpal Garain
Several pattern recognition principles and state of art (SoA) ML techniques are followed to design the overall approach for the proposed automation.
no code implementations • 6 Nov 2017 • Snehasis Banerjee, Tanushyam Chattopadhyay, Ayan Mukherjee
The proposed approach is based on Wide Learning architecture and provides means for interpretation of the recommended features.
no code implementations • 22 Nov 2021 • Pradip Pramanick, Chayan Sarkar, Snehasis Banerjee, Brojeshwar Bhowmick
The utility of collocating robots largely depends on the easy and intuitive interaction mechanism with the human.
no code implementations • 27 Aug 2022 • D. A. Sasi Kiran, Kritika Anand, Chaitanya Kharyal, Gulshan Kumar, Nandiraju Gireesh, Snehasis Banerjee, Ruddra dev Roychoudhury, Mohan Sridharan, Brojeshwar Bhowmick, Madhava Krishna
This paper describes a framework for the object-goal navigation task, which requires a robot to find and move to the closest instance of a target object class from a random starting position.
no code implementations • 27 Aug 2022 • Nandiraju Gireesh, D. A. Sasi Kiran, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, Madhava Krishna
Our framework incrementally builds a semantic map of the environment over time, and then repeatedly selects a long-term goal ('where to go') based on the semantic map to locate the target object instance.
no code implementations • 20 Oct 2022 • Snehasis Banerjee, Brojeshwar Bhowmick, Ruddra dev Roychoudhury
This paper presents an architecture and methodology to empower a service robot to navigate an indoor environment with semantic decision making, given RGB ego view.
no code implementations • 10 May 2023 • Nandiraju Gireesh, Ayush Agrawal, Ahana Datta, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, Madhava Krishna
The Multi-Object Navigation (MultiON) task requires a robot to localize an instance (each) of multiple object classes.
no code implementations • 4 Apr 2024 • Shivam Singh, Karthik Swaminathan, Raghav Arora, Ramandeep Singh, Ahana Datta, Dipanjan Das, Snehasis Banerjee, Mohan Sridharan, Madhava Krishna
Specifically, DaTAPlan planner computes actions for an agent and a human to collaboratively and jointly achieve the tasks anticipated by the LLM, and the agent automatically adapts to unexpected changes in human action outcomes and preferences.