activity
20232026
most citedNarrow-Path, Dynamic Walking Using Integrated Posture Manipulation and Thrust Vectoring

1 citations · 5 across the 31 of their papers we have counts for

collaborators

32 papers

cs.RO2026

Design and Control of a Multimodal Legged-Aerial Robot Through Separate Control Contraction Metrics

Kaushik Venkatesh Krishnamurthy, Eric Sihite, Alireza Ramezani +1

The integration of dynamic legged locomotion and aerial mobility offers versatility that is deterred by challenges in payload distribution, actuation, and the contrasting requireme…

cs.RO2025

Guiding Energy-Efficient Locomotion through Impact Mitigation Rewards

Chenghao Wang, Arjun Viswanathan, Eric Sihite +1

Animals achieve energy-efficient locomotion by their implicit passive dynamics, a marvel that has captivated roboticists for decades.Recently, methods incorporated Adversarial Moti…

cs.RO2025

Dynamic Quadrupedal Legged and Aerial Locomotion via Structure Repurposing

Chenghao Wang, Kaushik Venkatesh Krishnamurthy, Shreyansh Pitroda +5

Multi-modal ground-aerial robots have been extensively studied, with a significant challenge lying in the integration of conflicting requirements across different modes of operatio…

cs.RO2025★ 1 cited

Crater Observing Bio-inspired Rolling Articulator (COBRA)

Adarsh Salagame, Henry Noyes, Alireza Ramezani +2

NASA aims to establish a sustainable human basecamp on the Moon as a stepping stone for future missions to Mars and beyond. The discovery of water ice on the Moon's craters located…

cs.RO2025

Thruster-Enhanced Locomotion: A Decoupled Model Predictive Control with Learned Contact Residuals

Chenghao Wang, Alireza Ramezani

Husky Carbon, a robot developed by Northeastern University, serves as a research platform to explore unification of posture manipulation and thrust vectoring. Unlike conventional q…

cs.RO2025

Estimation of Aerodynamics Forces in Dynamic Morphing Wing Flight

Bibek Gupta, Mintae Kim, Albert Park +3

Accurate estimation of aerodynamic forces is essential for advancing the control, modeling, and design of flapping-wing aerial robots with dynamic morphing capabilities. In this pa…

cs.RO2025

Optimal Trajectory Planning in a Vertically Undulating Snake Locomotion using Contact-implicit Optimization

Adarsh Salagame, Eric Sihite, Alireza Ramezani

Contact-rich problems, such as snake robot locomotion, offer unexplored yet rich opportunities for optimization-based trajectory and acyclic contact planning. So far, a substantial…

cs.RO2025

Quadratic Programming-Based Posture Manipulation and Thrust-vectoring for Agile Dynamic Walking on Narrow Pathways

Chenghao Wang, Eric Sihite, Kaushik Venkatesh Krishnamurthy +4

There has been significant advancement in legged robot's agility where they can show impressive acrobatic maneuvers, such as parkour. These maneuvers rely heavily on posture manipu…

cs.RO2025

Vision-Guided Loco-Manipulation with a Snake Robot

Adarsh Salagame, Sasank Potluri, Keshav Bharadwaj Vaidyanathan +4

This paper presents the development and integration of a vision-guided loco-manipulation pipeline for Northeastern University's snake robot, COBRA. The system leverages a YOLOv8-ba…

cs.RO2025

NMPC-based Unified Posture Manipulation and Thrust Vectoring for Fault Recovery

Adarsh Salagame, Shashwat Pandya, Ioannis Mandralis +3

Multi-rotors face significant risks, as actuator failures at high altitudes can easily result in a crash and the robot's destruction. Therefore, rapid fault recovery in the event o…

cs.RO2025

Reduced-Order Model-Based Gait Generation for Snake Robot Locomotion using NMPC

Adarsh Salagame, Eric Sihite, Milad Ramezani +1

This paper presents an optimization-based motion planning methodology for snake robots operating in constrained environments. By using a reduced-order model, the proposed approach…

cs.RO2025

ATMO: An Aerially Transforming Morphobot for Dynamic Ground-Aerial Transition

Ioannis Mandralis, Reza Nemovi, Alireza Ramezani +2

Designing ground-aerial robots is challenging due to the increased actuation requirements which can lead to added weight and reduced locomotion efficiency. Morphobots mitigate this…

cs.RO2024

Self-supervised cost of transport estimation for multimodal path planning

Vincent Gherold, Ioannis Mandralis, Eric Sihite +3

Autonomous robots operating in real environments are often faced with decisions on how best to navigate their surroundings. In this work, we address a particular instance of this p…

cs.RO2024

Enhanced Capture Point Control Using Thruster Dynamics and QP-Based Optimization for Harpy

Shreyansh Pitroda, Eric Sihite, Taoran Liu +6

Our work aims to make significant strides in understanding unexplored locomotion control paradigms based on the integration of posture manipulation and thrust vectoring. These tech…

cs.RO2024

Conjugate momentum based thruster force estimate in dynamic multimodal robot

Shreyansh Pitroda, Eric Sihite, Taoran Liu +6

In a multi-modal system which combines thruster and legged locomotion such our state-of-the-art Harpy platform to perform dynamic locomotion. Therefore, it is very important to hav…

cs.RO2024

Validation of Tumbling Robot Dynamics with Posture Manipulation for Closed-Loop Heading Angle Control

Adarsh Salagame, Eric Sihite, Alireza Ramezani

Navigating rugged terrain and steep slopes is a challenge for mobile robots. Conventional legged and wheeled systems struggle with these environments due to limited traction and st…

cs.RO2024

Quadratic Programming Optimization for Bio-Inspired Thruster-Assisted Bipedal Locomotion on Inclined Slopes

Shreyansh Pitroda, Eric Sihite, Kaushik Venkatesh Krishnamurthy +5

Our work aims to make significant strides in understanding unexplored locomotion control paradigms based on the integration of posture manipulation and thrust vectoring. These tech…

cs.RO2024

Enabling steep slope walking on Husky using reduced order modeling and quadratic programming

Kaushik Venkatesh Krishnamurthy, Eric Sihite, Chenghao Wang +4

Wing-assisted inclined running (WAIR) observed in some young birds, is an attractive maneuver that can be extended to legged aerial systems. This study proposes a control method us…

cs.RO2024

Conjugate Momentum-Based Estimation of External Forces for Bio-Inspired Morphing Wing Flight

Bibek Gupta, Eric Sihite, Alireza Ramezani

Dynamic morphing wing flights present significant challenges in accurately estimating external forces due to complex interactions between aerodynamics, rapid wing movements, and ex…

cs.RO2024

Optimization free control and ground force estimation with momentum observer for a multimodal legged aerial robot

Kaushik Venkatesh Krishnamurthy, Chenghao Wang, Shreyansh Pitroda +3

Legged-aerial multimodal robots can make the most of both legged and aerial systems. In this paper, we propose a control framework that bypasses heavy onboard computers by using an…

cs.RO2024

Capture Point Control in Thruster-Assisted Bipedal Locomotion

Shreyansh Pitroda, Aditya Bondada, Kaushik Venkatesh Krishnamurthy +8

Despite major advancements in control design that are robust to unplanned disturbances, bipedal robots are still susceptible to falling over and struggle to negotiate rough terrain…

cs.RO2024

Thruster-Assisted Incline Walking

Kaushik Venkatesh Krishnamurthy, Chenghao Wang, Shreyansh Pitroda +5

In this study, our aim is to evaluate the effectiveness of thruster-assisted steep slope walking for the Husky Carbon, a quadrupedal robot equipped with custom-designed actuators a…

cs.RO2024

Modeling and Controls of Fluid-Structure Interactions (FSI) in Dynamic Morphing Flight

Bibek Gupta, Eric Sihite, Alireza Ramezani

The primary aim of this study is to enhance the accuracy of our aerodynamic Fluid-Structure Interaction (FSI) model to support the controlled tracking of 3D flight trajectories by…

cs.RO2024

Reinforcement Learning-Based Model Matching to Reduce the Sim-Real Gap in COBRA

Adarsh Salagame, Harin Kumar Nallaguntla, Bardia Ardakanian +3

This paper employs a reinforcement learning-based model identification method aimed at enhancing the accuracy of the dynamics for our snake robot, called COBRA. Leveraging gradient…