42 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Indian Institute of Science BangaloreIN6 papers
- Ahmedabad UniversityIN1 paper
- Beihang UniversityCN1 paper
- Chinese Academy of SciencesCN1 paper
- Huazhong University of Science and TechnologyCN1 paper
- Indian Institute of Technology MadrasIN1 paper
- Institute of Computing TechnologyCN1 paper
- Ji Hua LaboratoryCN1 paper
- Midea Group (China)CN1 paper
- Robert Bosch (Brazil)BR1 paper
- Robert Bosch (Germany)DE1 paper
- Robert Bosch (India)IN1 paper
13 papers
Energy-Efficient Quadruped Locomotion with Compliant Feet
Pramod Pal, Shishir Kolathaya, Ashitava Ghosal
Quadruped robots are often designed with rigid feet to simplify control and maintain stable contact during locomotion. While this approach is straightforward, it limits the ability…
A Branch-and-Cut Algorithm for the Optimal Design of Parking Lots with One-way and Two-way Lanes
Helen Thomas, Tarun Rambha
We address the problem of maximizing the number of stalls in parking lots where vehicles park perpendicular to the driveways. Building on recent research on two-way driving lanes,…
Dynamics-Invariant Quadrotor Control using Scale-Aware Deep Reinforcement Learning
Varad Vaidya, Jishnu Keshavan
Due to dynamic variations such as changing payload, aerodynamic disturbances, and varying platforms, a robust solution for quadrotor trajectory tracking remains challenging. To add…
Dynamic capacity allocation of hybrid transportation units for cargo-hitching in urban public transportation systems
Paul Bischoff, Benedikt Lienkamp, Tarun Rambha +1
To improve the utilization of public transportation systems (PTSs) during off-peak hours, we present an algorithmic framework that designs PTSs with hybrid transportation units (HT…
GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning
Heng Xiong, Changrong Guo, Jian Peng +5
Robotic object packing has broad practical applications in the logistics and automation industry, often formulated by researchers as the online 3D Bin Packing Problem (3D-BPP). How…
A Survey on Causal Inference for Recommendation
Huishi Luo, Fuzhen Zhuang, Ruobing Xie +4
Causal inference has recently garnered significant interest among recommender system (RS) researchers due to its ability to dissect cause-and-effect relationships and its broad app…
Sensor Visibility Estimation: Metrics and Methods for Systematic Performance Evaluation and Improvement
Joachim Börger, Marc Patrick Zapf, Marat Kopytjuk +2
Sensor visibility is crucial for safety-critical applications in automotive, robotics, smart infrastructure and others: In addition to object detection and occupancy mapping, visib…
Control Barrier Functions in UGVs for Kinematic Obstacle Avoidance: A Collision Cone Approach
Phani Thontepu, Bhavya Giri Goswami, Manan Tayal +6
In this paper, we propose a new class of Control Barrier Functions (CBFs) for Unmanned Ground Vehicles (UGVs) that help avoid collisions with kinematic (non-zero velocity) obstacle…
Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge
Abhik Singla, Sindhu Padakandla, Shalabh Bhatnagar
This paper presents our method for enabling a UAV quadrotor, equipped with a monocular camera, to autonomously avoid collisions with obstacles in unstructured and unknown indoor en…
Random directions stochastic approximation with deterministic perturbations
Prashanth L A, Shalabh Bhatnagar, Nirav Bhavsar +2
We introduce deterministic perturbation schemes for the recently proposed random directions stochastic approximation (RDSA) [17], and propose new first-order and second-order algor…
Freestyle, a randomized version of ChaCha for resisting offline brute-force and dictionary attacks
P. Arun Babu, Jithin Jose Thomas
This paper introduces Freestyle, a randomized and variable round version of the ChaCha cipher. Freestyle uses the concept of hash based halting condition where a decryption attempt…
Network Utility Maximization Revisited: Three Issues and Their Resolution
Akhil P T, Rajesh Sundaresan
Distributed and iterative network utility maximization algorithms, such as the primal-dual algorithms or the network-user decomposition algorithms, often involve trajectories where…
An Interoperable Realization of Smart Cities with Plug and Play based Device Management
Prasant Misra, Vasanth Rajaraman, Kumaresh Dhotrad +2
The primal problem with Internet of Things (IoT) solutions for smart cities is the lack of interoperability at various levels, and more predominately at the device level. While the…