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Madhu Annapragada

dblp:62/90 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

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

Artificial intelligence and machine learning · 3Systems, architecture and hardware · 3

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
3 papers
Motion planning and robot control · 91% Legged, aerial and field robots · 5% Robot manipulation · 5%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%

Topics — the 9 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › model-based control
computed torque control
0.112009
Dynamics and control of a 4-dof wearable cable-driven upper arm exoskeleton · ICRA 2009
Robotics › Motion planning and robot control
robot control
0.112009
Dynamics and control of a 4-dof wearable cable-driven upper arm exoskeleton · ICRA 2009
Human-robot interaction
wearable robot
0.012009
Dynamics and control of a 4-dof wearable cable-driven upper arm exoskeleton · ICRA 2009
Robotics › Motion planning and robot control
robot kinematics
0.021994
Hyper-Redundant Planar Manipulators: Motion Planning with Discrete Modal Summation Procedure · ICRA 1994
Robotic Assembly in a Free-Floating Work Environment · ICRA 1994
Robotics › Robot manipulation › contact modeling
collision dynamics
0.011994
Robotic Assembly in a Free-Floating Work Environment · ICRA 1994
Robotics › Motion planning and robot control
motion planning
0.011994
Hyper-Redundant Planar Manipulators: Motion Planning with Discrete Modal Summation Procedure · ICRA 1994
Robotics › Motion planning and robot control
robot dynamics
0.011994
Robotic Assembly in a Free-Floating Work Environment · ICRA 1994
Robotics › Legged, aerial and field robots
space robotics
0.011994
Robotic Assembly in a Free-Floating Work Environment · ICRA 1994
Robotics › Motion planning and robot control › robot dynamics
multibody dynamics
0.011994
Robotic Assembly in a Free-Floating Work Environment · ICRA 1994

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

cable tension control · 0.2PD control · 0.2momentum conservation · 0.0hyper-redundant manipulator · 0.0discrete modal summation · 0.0analytical modeling · 0.0
YearPublicationVenuePosition
2009 Dynamics and control of a 4-dof wearable cable-driven upper arm exoskeleton
abstract
In this paper, we present the dynamics, control, and preliminary experiments on a wearable upper arm exoskeleton intended for human users with four degrees-of-freedom (dof), driven by six cables. The control of this cable-driven exoskeleton is complicated because the cables can transmit forces to the arm only under tension. The standard PD controllers or computed torque controllers perform only moderately since the cables need to be in tension. Future efforts will seek to refine these control strategies and their implementations to improve functionality of a human user.
Elizabeth A. Brackbill, Ying Mao 0007, Sunil K. Agrawal, Madhu Annapragada, Venkatesh N. Dubey
ICRA4
1994 Robotic Assembly in a Free-Floating Work Environment
abstract
Freely moving systems in space conserve linear and angular momentum. As moving systems collide, the velocities get altered due to transfer of momentum. The development of strategies for assembly in a free-floating work environment requires a good understanding of primitives such as self motion of the robot, propulsion of the robot due to onboard thrusters, docking of the robot, retrieval of an object from a collection of objects, and release of an object in an object pool. The analytics of such assemblies involve not only kinematics and rigid body dynamics but also collision and impact dynamics of multibody systems. This paper presents analytical models of assembly primitives and strategies for overall assembly.>
Sunil K. Agrawal, Meng Y. Chen, Madhu Annapragada
ICRA3
1994 Hyper-Redundant Planar Manipulators: Motion Planning with Discrete Modal Summation Procedure
abstract
Biological systems such as human spine, elephant trunk, snakes, and earthworms possess very high maneuverability during motion. Analogous mechanical devices are useful for applications such as inspection, exploration, manipulation, and locomotion in restricted spaces. An important feature which high mobility devices possess is small motion limits at the joints. The objectives of this paper are: (i) to present an algorithm for motion planning of planar hyper-redundant manipulator systems with limited joint motion using a discrete modal summation procedure; (ii) to apply the algorithm for motion in free space as well as retrieve objects through holes in the work environment; and (iii) to show results of application of this algorithm for motion planning of a mechanical spine with many active motion segments.>
Sunil K. Agrawal, Siyan Li, Madhu Annapragada
ICRA3