1 citations · 2 across the 7 of their papers we have counts for
8 papers
From Where Things Are to What They Are For: Benchmarking Spatial-Functional Intelligence in Multimodal LLMs
Le Zhang, Jihan Yang, Soundarya Krishnan +11
Human-level agentic intelligence extends beyond low-level geometric perception, evolving from recognizing where things are to understanding what they are for. While existing benchm…
ReALM: Reference Resolution As Language Modeling
Joel Ruben Antony Moniz, Soundarya Krishnan, Melis Ozyildirim +4
Reference resolution is an important problem, one that is essential to understand and successfully handle context of different kinds. This context includes both previous turns and…
Convex Optimization in Legged Robots
Prathamesh Saraf, Mustafa Shaikh, Myron Phan
Convex optimization is crucial in controlling legged robots, where stability and optimal control are vital. Many control problems can be formulated as convex optimization problems,…
Terrain Adaptive Gait Transitioning for a Quadruped Robot using Model Predictive Control
Prathamesh Saraf, Abhishek Sarkar, Arshad Javed
Legged robots can traverse challenging terrain, use perception to plan their safe foothold positions, and navigate the environment. Such unique mobility capabilities make these pla…
On-board Electrical, Electronics and Pose Estimation System for Hyperloop Pod Design
Nihal Singh, Jay Karhade, Ishika Bhattacharya +3
Hyperloop is a high-speed ground-based transportation system utilizing sealed tubes, with the aim of ultimately transporting passengers between metropolitan cities in efficiently d…
Modeling and Simulation of a Point to Point Spherical Articulated Manipulator using Optimal Control
Prathamesh Saraf, R. N. Ponnalagu
This paper aims to design an optimal stability controller for a point to point trajectory tracking 3 degree of freedom articulated manipulator. The DH convention is used to obtain…
A Comparative Study Between a Classical and Optimal Controller for a Quadrotor
Prathamesh Saraf, Manan Gupta, Alivelu Manga Parimi
This paper presents a simulation-based comparison between the two controllers, Proportional Integral Derivative (PID), a classical controller and Linear Quadratic Regulator (LQR),…
A Convolutional Neural Network Approach Towards Self-Driving Cars
Akhil Agnihotri, Prathamesh Saraf, Kriti Rajesh Bapnad
A convolutional neural network (CNN) approach is used to implement a level 2 autonomous vehicle by mapping pixels from the camera input to the steering commands. The network automa…