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Karishma Patnaik

dblp:272/5148 · DBLP profile ↗
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3ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0001-8891-0428ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 1 first-author · 2 since 2021Systems, architecture and hardware · 3 · 1 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Motion planning and robot control · 50% Legged, aerial and field robots · 38% Robot manipulation · 12%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
aerial robots
0.912025
Design, Contact Modeling, and Collision-Inclusive Planning of a Dual-Stiffness Aerial RoboT (DART) · ICRA 2025
Robotics › Motion planning and robot control
motion planning
0.912025
Design, Contact Modeling, and Collision-Inclusive Planning of a Dual-Stiffness Aerial RoboT (DART) · ICRA 2025
Robotics › Robot manipulation
contact modeling
0.312025
Design, Contact Modeling, and Collision-Inclusive Planning of a Dual-Stiffness Aerial RoboT (DART) · ICRA 2025
Robotics › Motion planning and robot control
robot dynamics
0.312025
Design, Contact Modeling, and Collision-Inclusive Planning of a Dual-Stiffness Aerial RoboT (DART) · ICRA 2025

Methods — techniques the papers use, named apart from their topics

trajectory planning · 0.9linear complementarity system · 0.9
YearPublicationVenuePosition
2025 Design, Contact Modeling, and Collision-Inclusive Planning of a Dual-Stiffness Aerial RoboT (DART)
abstract
Collision-resilient quadrotors have gained significant attention given their potential for operating in cluttered environments and leveraging impacts to perform agile maneuvers. However, existing designs are typically single-mode: either safeguarded by propeller guards that prevent deformation or deformable but lacking rigidity, which is crucial for stable flight in open environments. This paper introduces DART, a Dual-stiffness Aerial RoboT, that adapts its post-collision response by either engaging a locking mechanism for a rigid mode or disengaging it for a flexible mode, respectively. Comprehensive characterization tests highlight the significant difference in post-collision responses between its rigid and flexible modes, with the rigid mode offering seven times higher stiffness compared to the flexible mode. To understand and harness the collision dynamics, we propose a novel collision response prediction model based on the linear complementarity system theory. We demonstrate the accuracy of predicting collision forces for both the rigid and flexible modes of DART. Experimental results confirm the accuracy of the model and underscore its potential to advance collision-inclusive trajectory planning in aerial robotics.
Karishma Patnaik
ICRA2
2023 Design, Characterization and Control of a Whole-body Grasping and Perching (WHOPPEr) Drone
abstract
Flying robots can exploit perching abilities to position themselves on strategically-chosen locations and monitor the areas of interest from a critical vantage point. Moreover, they can significantly extend their battery life by turning off the propulsion systems when carrying out a surveillance mission. However, unknown disturbances arise from the physical interactions between the robot and the object, making it challenging to stabilize the robot during perching. In this paper, we present a Whole-body Grasping and Perching (WHOPPEr) Drone, which is capable of fast and robust perching by utilizing its entire body as the grasper in lieu of an add-on grasper. We first present the design concept, parameter selection and characterization of the novel whole-body grasping drone. Next, we analyze the grasping ability of the morphing chassis and present an aerodynamic analysis for the effect of motor thrust on the compliant arm. We finally demonstrate, via real-time experiments, the performance of WHOPPEr in autonomous perching and payload delivery tasks.
Weijia Tao, Karishma Patnaik, Fuchen Chen
IROS2
2020 Design and Control of SQUEEZE: A Spring-augmented QUadrotor for intEractions with the Environment to squeeZE-and-fly
abstract
This paper presents the design and control of a novel quadrotor with a variable geometry to physically interact with cluttered environments and fly through narrow gaps and passageways. This compliant quadrotor with passive morphing capabilities is designed using torsional springs at every arm hinge to allow for rotation driven by external forces. We derive the dynamic model of this variable geometry quadrotor (SQUEEZE), and develop an adaptive controller for trajectory tracking. The corresponding Lyapunov stability proof of attitude tracking is also presented. Further, an admittance controller is designed to account for changes in yaw due to physical interactions with the environment. Finally, the proposed design is validated in flight tests with two setups: a small gap and a passageway. The experimental results demonstrate the unique capability of the SQUEEZE in navigating through constrained narrow spaces.
Karishma Patnaik, Shatadal Mishra, Seyed Mostafa Rezayat Sorkhabadi
IROS1