activity
20222026
most citedNarrow-Path, Dynamic Walking Using Integrated Posture Manipulation and Thrust Vectoring

1 citations · 2 across the 15 of their papers we have counts for

collaborators

17 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

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

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

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

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

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

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★ 1 cited

Narrow-Path, Dynamic Walking Using Integrated Posture Manipulation and Thrust Vectoring

Kaushik Venkatesh Krishnamurthy, Chenghao Wang, Shreyansh Pitroda +5

This research concentrates on enhancing the navigational capabilities of Northeastern Universitys Husky, a multi-modal quadrupedal robot, that can integrate posture manipulation an…

cs.RO2024

Bio-Inspired Compensatory Strategies for Damage to Flapping Robotic Propulsors

Meredith L. Hooper, Isabel Scherl, Morteza Gharib

To maintain full autonomy, autonomous robotic systems must have the ability to self-repair. Self-repairing via compensatory mechanisms appears in nature: for example, some fish can…

cs.RO2023★ 1 cited

Dynamic modeling of wing-assisted inclined running with a morphing multi-modal robot

Eric Sihite, Alireza Ramezani, Morteza Gharib

Robot designs can take many inspirations from nature, where there are many examples of highly resilient and fault-tolerant locomotion strategies to navigate complex terrains by usi…

cs.RO2022

Model Predictive Loitering and Trajectory Tracking of Suspended Payloads in Cable-Driven Balloons Using UGVs

Julius Wanner, Eric Sihite, Alireza Ramezani +1

The feasibility of performing airborne and ground manipulation, perception, and reconnaissance using wheeled rovers, unmanned aerial vehicles, CubeSats, SmallSats and more have bee…